labmlai--annotated_deep_learning_paper_implementations
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<h1>DQN Experiment with Atari Breakout</h1>
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<p>This experiment trains a Deep Q Network (DQN) to play Atari Breakout game on OpenAI Gym. It runs the <a href="../game.html">game environments on multiple processes</a> to sample efficiently.</p>
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<p><a href="https://colab.research.google.com/github/labmlai/annotated_deep_learning_paper_implementations/blob/master/labml_nn/rl/dqn/experiment.ipynb"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg"></a></p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">15</span><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
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<span class="lineno">16</span><span class="kn">import</span> <span class="nn">torch</span>
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<span class="lineno">17</span>
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<span class="lineno">18</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">tracker</span><span class="p">,</span> <span class="n">experiment</span><span class="p">,</span> <span class="n">logger</span><span class="p">,</span> <span class="n">monit</span>
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<span class="lineno">19</span><span class="kn">from</span> <span class="nn">labml.internal.configs.dynamic_hyperparam</span> <span class="kn">import</span> <span class="n">FloatDynamicHyperParam</span>
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<span class="lineno">20</span><span class="kn">from</span> <span class="nn">labml_nn.helpers.schedule</span> <span class="kn">import</span> <span class="n">Piecewise</span>
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<span class="lineno">21</span><span class="kn">from</span> <span class="nn">labml_nn.rl.dqn</span> <span class="kn">import</span> <span class="n">QFuncLoss</span>
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<span class="lineno">22</span><span class="kn">from</span> <span class="nn">labml_nn.rl.dqn.model</span> <span class="kn">import</span> <span class="n">Model</span>
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<span class="lineno">23</span><span class="kn">from</span> <span class="nn">labml_nn.rl.dqn.replay_buffer</span> <span class="kn">import</span> <span class="n">ReplayBuffer</span>
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<span class="lineno">24</span><span class="kn">from</span> <span class="nn">labml_nn.rl.game</span> <span class="kn">import</span> <span class="n">Worker</span></pre></div>
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<div class='section' id='section-1'>
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<a href='#section-1'>#</a>
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<p>Select device </p>
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<div class="highlight"><pre><span class="lineno">27</span><span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">():</span>
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<span class="lineno">28</span> <span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">"cuda:0"</span><span class="p">)</span>
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<span class="lineno">29</span><span class="k">else</span><span class="p">:</span>
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<span class="lineno">30</span> <span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">"cpu"</span><span class="p">)</span></pre></div>
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<a href='#section-2'>#</a>
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<p>Scale observations from <code class="highlight"><span></span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">255</span><span class="p">]</span></code>
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to <code class="highlight"><span></span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span></code>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">33</span><span class="k">def</span> <span class="nf">obs_to_torch</span><span class="p">(</span><span class="n">obs</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">)</span> <span class="o">-></span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">:</span></pre></div>
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<div class="highlight"><pre><span class="lineno">35</span> <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">obs</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">)</span> <span class="o">/</span> <span class="mf">255.</span></pre></div>
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<a href='#section-4'>#</a>
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<h2>Trainer</h2>
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<div class="highlight"><pre><span class="lineno">38</span><span class="k">class</span> <span class="nc">Trainer</span><span class="p">:</span></pre></div>
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<div class="highlight"><pre><span class="lineno">43</span> <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span>
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<span class="lineno">44</span> <span class="n">updates</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">epochs</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
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<span class="lineno">45</span> <span class="n">n_workers</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">worker_steps</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">mini_batch_size</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
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<span class="lineno">46</span> <span class="n">update_target_model</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
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<span class="lineno">47</span> <span class="n">learning_rate</span><span class="p">:</span> <span class="n">FloatDynamicHyperParam</span><span class="p">,</span>
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<span class="lineno">48</span> <span class="p">):</span></pre></div>
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<a href='#section-6'>#</a>
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<p>number of workers </p>
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<div class="highlight"><pre><span class="lineno">50</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_workers</span> <span class="o">=</span> <span class="n">n_workers</span></pre></div>
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<a href='#section-7'>#</a>
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<p>steps sampled on each update </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">52</span> <span class="bp">self</span><span class="o">.</span><span class="n">worker_steps</span> <span class="o">=</span> <span class="n">worker_steps</span></pre></div>
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<div class='section' id='section-8'>
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<a href='#section-8'>#</a>
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<p>number of training iterations </p>
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<div class="highlight"><pre><span class="lineno">54</span> <span class="bp">self</span><span class="o">.</span><span class="n">train_epochs</span> <span class="o">=</span> <span class="n">epochs</span></pre></div>
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<div class='section' id='section-9'>
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<a href='#section-9'>#</a>
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<p>number of updates </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">57</span> <span class="bp">self</span><span class="o">.</span><span class="n">updates</span> <span class="o">=</span> <span class="n">updates</span></pre></div>
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<div class='section' id='section-10'>
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<a href='#section-10'>#</a>
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<p>size of mini batch for training </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">59</span> <span class="bp">self</span><span class="o">.</span><span class="n">mini_batch_size</span> <span class="o">=</span> <span class="n">mini_batch_size</span></pre></div>
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<div class='section' id='section-11'>
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<a href='#section-11'>#</a>
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<p>update target network every 250 update </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">62</span> <span class="bp">self</span><span class="o">.</span><span class="n">update_target_model</span> <span class="o">=</span> <span class="n">update_target_model</span></pre></div>
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<a href='#section-12'>#</a>
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<p>learning rate </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">65</span> <span class="bp">self</span><span class="o">.</span><span class="n">learning_rate</span> <span class="o">=</span> <span class="n">learning_rate</span></pre></div>
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<div class='section' id='section-13'>
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<a href='#section-13'>#</a>
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<p>exploration as a function of updates </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">68</span> <span class="bp">self</span><span class="o">.</span><span class="n">exploration_coefficient</span> <span class="o">=</span> <span class="n">Piecewise</span><span class="p">(</span>
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<span class="lineno">69</span> <span class="p">[</span>
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<span class="lineno">70</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">),</span>
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<span class="lineno">71</span> <span class="p">(</span><span class="mi">25_000</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">),</span>
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<span class="lineno">72</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">updates</span> <span class="o">/</span> <span class="mi">2</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">)</span>
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<span class="lineno">73</span> <span class="p">],</span> <span class="n">outside_value</span><span class="o">=</span><span class="mf">0.01</span><span class="p">)</span></pre></div>
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<div class='section' id='section-14'>
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<a href='#section-14'>#</a>
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<p><span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.8888799999999999em;vertical-align:-0.19444em;"></span><span class="mord coloredeq eqi" style=""><span class="mord mathnormal" style="margin-right:0.05278em">β</span></span></span></span></span></span> for replay buffer as a function of updates </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">76</span> <span class="bp">self</span><span class="o">.</span><span class="n">prioritized_replay_beta</span> <span class="o">=</span> <span class="n">Piecewise</span><span class="p">(</span>
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<span class="lineno">77</span> <span class="p">[</span>
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<span class="lineno">78</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">0.4</span><span class="p">),</span>
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<span class="lineno">79</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">updates</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
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<span class="lineno">80</span> <span class="p">],</span> <span class="n">outside_value</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span></pre></div>
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<div class='section' id='section-15'>
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<a href='#section-15'>#</a>
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<p>Replay buffer with <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.43056em;vertical-align:0em;"></span><span class="mord mathnormal" style="margin-right:0.0037em;">α</span><span class="mspace" style="margin-right:0.2777777777777778em;"></span><span class="mrel">=</span><span class="mspace" style="margin-right:0.2777777777777778em;"></span></span><span class="base"><span class="strut" style="height:0.64444em;vertical-align:0em;"></span><span class="mord">0.6</span></span></span></span></span>. Capacity of the replay buffer must be a power of 2. </p>
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<div class='code'>
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<div class="highlight"><pre><span class="lineno">83</span> <span class="bp">self</span><span class="o">.</span><span class="n">replay_buffer</span> <span class="o">=</span> <span class="n">ReplayBuffer</span><span class="p">(</span><span class="mi">2</span> <span class="o">**</span> <span class="mi">14</span><span class="p">,</span> <span class="mf">0.6</span><span class="p">)</span></pre></div>
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<a href='#section-16'>#</a>
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<p>Model for sampling and training </p>
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<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">86</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span> <span class="o">=</span> <span class="n">Model</span><span class="p">()</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-17'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-17'>#</a>
|
||
</div>
|
||
<p>target model to get <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:1.088326em;vertical-align:-0.276864em;"></span><span class="mord"><span class="mord mathnormal" style="color:orange">Q</span><span class="mopen coloredeq eqa" style="">(</span><span class="mord coloredeq eqa" style=""><span class="mord mathnormal" style="">s</span><span class="msupsub"><span class="vlist-t"><span class="vlist-r"><span class="vlist" style="height:0.751892em;"><span style="top:-3.063em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight" style=""><span class="mord mtight" style=""><span class="mord mtight" style="">′</span></span></span></span></span></span></span></span></span><span class="mpunct coloredeq eqa" style="">;</span><span class="mspace" style="margin-right:0.16666666666666666em;"></span><span class="mord" style="color:orange"><span class="mord mathnormal" style="margin-right:0.02778em">θ</span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.811462em;"><span style="top:-2.4231360000000004em;margin-left:-0.02778em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight" style=""><span class="mord mathnormal mtight" style="">i</span></span></span><span style="top:-3.1031310000000003em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight" style=""><span class="mord mtight" style=""><span class="mord mtight" style="">−</span></span></span></span></span><span class="vlist-s"></span></span><span class="vlist-r"><span class="vlist" style="height:0.276864em;"><span></span></span></span></span></span></span><span class="mclose coloredeq eqa" style="">)</span></span></span></span></span></span> </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">88</span> <span class="bp">self</span><span class="o">.</span><span class="n">target_model</span> <span class="o">=</span> <span class="n">Model</span><span class="p">()</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-18'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-18'>#</a>
|
||
</div>
|
||
<p>create workers </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">91</span> <span class="bp">self</span><span class="o">.</span><span class="n">workers</span> <span class="o">=</span> <span class="p">[</span><span class="n">Worker</span><span class="p">(</span><span class="mi">47</span> <span class="o">+</span> <span class="n">i</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">n_workers</span><span class="p">)]</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-19'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-19'>#</a>
|
||
</div>
|
||
<p>initialize tensors for observations </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">94</span> <span class="bp">self</span><span class="o">.</span><span class="n">obs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">n_workers</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">84</span><span class="p">,</span> <span class="mi">84</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">uint8</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-20'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-20'>#</a>
|
||
</div>
|
||
<p>reset the workers </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">97</span> <span class="k">for</span> <span class="n">worker</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">workers</span><span class="p">:</span>
|
||
<span class="lineno">98</span> <span class="n">worker</span><span class="o">.</span><span class="n">child</span><span class="o">.</span><span class="n">send</span><span class="p">((</span><span class="s2">"reset"</span><span class="p">,</span> <span class="kc">None</span><span class="p">))</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-21'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-21'>#</a>
|
||
</div>
|
||
<p>get the initial observations </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">101</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">worker</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">workers</span><span class="p">):</span>
|
||
<span class="lineno">102</span> <span class="bp">self</span><span class="o">.</span><span class="n">obs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">worker</span><span class="o">.</span><span class="n">child</span><span class="o">.</span><span class="n">recv</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-22'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-22'>#</a>
|
||
</div>
|
||
<p>loss function </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">105</span> <span class="bp">self</span><span class="o">.</span><span class="n">loss_func</span> <span class="o">=</span> <span class="n">QFuncLoss</span><span class="p">(</span><span class="mf">0.99</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-23'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-23'>#</a>
|
||
</div>
|
||
<p>optimizer </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">107</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span><span class="o">=</span><span class="mf">2.5e-4</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-24'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-24'>#</a>
|
||
</div>
|
||
<h4><span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.43056em;vertical-align:0em;"></span><span class="mord coloredeq eqg" style=""><span class="mord mathnormal" style="">ϵ</span></span></span></span></span></span>-greedy Sampling</h4>
|
||
<p>When sampling actions we use a <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.43056em;vertical-align:0em;"></span><span class="mord coloredeq eqg" style=""><span class="mord mathnormal" style="">ϵ</span></span></span></span></span></span>-greedy strategy, where we take a greedy action with probabiliy <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.72777em;vertical-align:-0.08333em;"></span><span class="mord">1</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mbin">−</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span></span><span class="base"><span class="strut" style="height:0.43056em;vertical-align:0em;"></span><span class="mord coloredeq eqg" style=""><span class="mord mathnormal" style="">ϵ</span></span></span></span></span></span> and take a random action with probability <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.43056em;vertical-align:0em;"></span><span class="mord coloredeq eqg" style=""><span class="mord mathnormal" style="">ϵ</span></span></span></span></span></span>. We refer to <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.43056em;vertical-align:0em;"></span><span class="mord coloredeq eqg" style=""><span class="mord mathnormal" style="">ϵ</span></span></span></span></span></span> as <code class="highlight"><span></span><span class="n">exploration_coefficient</span></code>
|
||
.</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">109</span> <span class="k">def</span> <span class="nf">_sample_action</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">q_value</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">exploration_coefficient</span><span class="p">:</span> <span class="nb">float</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-25'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-25'>#</a>
|
||
</div>
|
||
<p>Sampling doesn't need gradients </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">119</span> <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-26'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-26'>#</a>
|
||
</div>
|
||
<p>Sample the action with highest Q-value. This is the greedy action. </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">121</span> <span class="n">greedy_action</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">q_value</span><span class="p">,</span> <span class="n">dim</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-27'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-27'>#</a>
|
||
</div>
|
||
<p>Uniformly sample and action </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">123</span> <span class="n">random_action</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="n">q_value</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">greedy_action</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="n">q_value</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-28'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-28'>#</a>
|
||
</div>
|
||
<p>Whether to chose greedy action or the random action </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">125</span> <span class="n">is_choose_rand</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="n">greedy_action</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="n">q_value</span><span class="o">.</span><span class="n">device</span><span class="p">)</span> <span class="o"><</span> <span class="n">exploration_coefficient</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-29'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-29'>#</a>
|
||
</div>
|
||
<p>Pick the action based on <code class="highlight"><span></span><span class="n">is_choose_rand</span></code>
|
||
</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">127</span> <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">is_choose_rand</span><span class="p">,</span> <span class="n">random_action</span><span class="p">,</span> <span class="n">greedy_action</span><span class="p">)</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-30'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-30'>#</a>
|
||
</div>
|
||
<h3>Sample data</h3>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">129</span> <span class="k">def</span> <span class="nf">sample</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exploration_coefficient</span><span class="p">:</span> <span class="nb">float</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-31'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-31'>#</a>
|
||
</div>
|
||
<p>This doesn't need gradients </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">133</span> <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-32'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-32'>#</a>
|
||
</div>
|
||
<p>Sample <code class="highlight"><span></span><span class="n">worker_steps</span></code>
|
||
</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">135</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">worker_steps</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-33'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-33'>#</a>
|
||
</div>
|
||
<p>Get Q_values for the current observation </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">137</span> <span class="n">q_value</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">obs_to_torch</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">obs</span><span class="p">))</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-34'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-34'>#</a>
|
||
</div>
|
||
<p>Sample actions </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">139</span> <span class="n">actions</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_sample_action</span><span class="p">(</span><span class="n">q_value</span><span class="p">,</span> <span class="n">exploration_coefficient</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-35'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-35'>#</a>
|
||
</div>
|
||
<p>Run sampled actions on each worker </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">142</span> <span class="k">for</span> <span class="n">w</span><span class="p">,</span> <span class="n">worker</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">workers</span><span class="p">):</span>
|
||
<span class="lineno">143</span> <span class="n">worker</span><span class="o">.</span><span class="n">child</span><span class="o">.</span><span class="n">send</span><span class="p">((</span><span class="s2">"step"</span><span class="p">,</span> <span class="n">actions</span><span class="p">[</span><span class="n">w</span><span class="p">]))</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-36'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-36'>#</a>
|
||
</div>
|
||
<p>Collect information from each worker </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">146</span> <span class="k">for</span> <span class="n">w</span><span class="p">,</span> <span class="n">worker</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">workers</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-37'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-37'>#</a>
|
||
</div>
|
||
<p>Get results after executing the actions </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">148</span> <span class="n">next_obs</span><span class="p">,</span> <span class="n">reward</span><span class="p">,</span> <span class="n">done</span><span class="p">,</span> <span class="n">info</span> <span class="o">=</span> <span class="n">worker</span><span class="o">.</span><span class="n">child</span><span class="o">.</span><span class="n">recv</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-38'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-38'>#</a>
|
||
</div>
|
||
<p>Add transition to replay buffer </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">151</span> <span class="bp">self</span><span class="o">.</span><span class="n">replay_buffer</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">obs</span><span class="p">[</span><span class="n">w</span><span class="p">],</span> <span class="n">actions</span><span class="p">[</span><span class="n">w</span><span class="p">],</span> <span class="n">reward</span><span class="p">,</span> <span class="n">next_obs</span><span class="p">,</span> <span class="n">done</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-39'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-39'>#</a>
|
||
</div>
|
||
<p>update episode information. collect episode info, which is available if an episode finished; this includes total reward and length of the episode - look at <code class="highlight"><span></span><span class="n">Game</span></code>
|
||
to see how it works. </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">157</span> <span class="k">if</span> <span class="n">info</span><span class="p">:</span>
|
||
<span class="lineno">158</span> <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s1">'reward'</span><span class="p">,</span> <span class="n">info</span><span class="p">[</span><span class="s1">'reward'</span><span class="p">])</span>
|
||
<span class="lineno">159</span> <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s1">'length'</span><span class="p">,</span> <span class="n">info</span><span class="p">[</span><span class="s1">'length'</span><span class="p">])</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-40'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-40'>#</a>
|
||
</div>
|
||
<p>update current observation </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">162</span> <span class="bp">self</span><span class="o">.</span><span class="n">obs</span><span class="p">[</span><span class="n">w</span><span class="p">]</span> <span class="o">=</span> <span class="n">next_obs</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-41'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-41'>#</a>
|
||
</div>
|
||
<h3>Train the model</h3>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">164</span> <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">beta</span><span class="p">:</span> <span class="nb">float</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-42'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-42'>#</a>
|
||
</div>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">168</span> <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">train_epochs</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-43'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-43'>#</a>
|
||
</div>
|
||
<p>Sample from priority replay buffer </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">170</span> <span class="n">samples</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">replay_buffer</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mini_batch_size</span><span class="p">,</span> <span class="n">beta</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-44'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-44'>#</a>
|
||
</div>
|
||
<p>Get the predicted Q-value </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">172</span> <span class="n">q_value</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">obs_to_torch</span><span class="p">(</span><span class="n">samples</span><span class="p">[</span><span class="s1">'obs'</span><span class="p">]))</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-45'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-45'>#</a>
|
||
</div>
|
||
<p>Get the Q-values of the next state for <a href="index.html">Double Q-learning</a>. Gradients shouldn't propagate for these </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">176</span> <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-46'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-46'>#</a>
|
||
</div>
|
||
<p>Get <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:1.001892em;vertical-align:-0.25em;"></span><span class="mord mathnormal" style="color:cyan">Q</span><span class="mopen">(</span><span class="mord"><span class="mord mathnormal">s</span><span class="msupsub"><span class="vlist-t"><span class="vlist-r"><span class="vlist" style="height:0.751892em;"><span style="top:-3.063em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mtight"><span class="mord mtight">′</span></span></span></span></span></span></span></span></span><span class="mpunct">;</span><span class="mspace" style="margin-right:0.16666666666666666em;"></span><span class="mord" style="color:cyan"><span class="mord mathnormal" style="margin-right:0.02778em">θ</span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.31166399999999994em;"><span style="top:-2.5500000000000003em;margin-left:-0.02778em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight" style=""><span class="mord mathnormal mtight" style="">i</span></span></span></span><span class="vlist-s"></span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span><span class="mclose">)</span></span></span></span></span> </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">178</span> <span class="n">double_q_value</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">obs_to_torch</span><span class="p">(</span><span class="n">samples</span><span class="p">[</span><span class="s1">'next_obs'</span><span class="p">]))</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-47'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-47'>#</a>
|
||
</div>
|
||
<p>Get <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:1.088326em;vertical-align:-0.276864em;"></span><span class="mord"><span class="mord mathnormal" style="color:orange">Q</span><span class="mopen coloredeq eqa" style="">(</span><span class="mord coloredeq eqa" style=""><span class="mord mathnormal" style="">s</span><span class="msupsub"><span class="vlist-t"><span class="vlist-r"><span class="vlist" style="height:0.751892em;"><span style="top:-3.063em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight" style=""><span class="mord mtight" style=""><span class="mord mtight" style="">′</span></span></span></span></span></span></span></span></span><span class="mpunct coloredeq eqa" style="">;</span><span class="mspace" style="margin-right:0.16666666666666666em;"></span><span class="mord" style="color:orange"><span class="mord mathnormal" style="margin-right:0.02778em">θ</span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.811462em;"><span style="top:-2.4231360000000004em;margin-left:-0.02778em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight" style=""><span class="mord mathnormal mtight" style="">i</span></span></span><span style="top:-3.1031310000000003em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight" style=""><span class="mord mtight" style=""><span class="mord mtight" style="">−</span></span></span></span></span><span class="vlist-s"></span></span><span class="vlist-r"><span class="vlist" style="height:0.276864em;"><span></span></span></span></span></span></span><span class="mclose coloredeq eqa" style="">)</span></span></span></span></span></span> </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">180</span> <span class="n">target_q_value</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">target_model</span><span class="p">(</span><span class="n">obs_to_torch</span><span class="p">(</span><span class="n">samples</span><span class="p">[</span><span class="s1">'next_obs'</span><span class="p">]))</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-48'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-48'>#</a>
|
||
</div>
|
||
<p>Compute Temporal Difference (TD) errors, <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.69444em;vertical-align:0em;"></span><span class="mord coloredeq eqh" style=""><span class="mord mathnormal" style="margin-right:0.03785em">δ</span></span></span></span></span></span>, and the loss, <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord mathcal">L</span><span class="mopen">(</span><span class="mord mathnormal" style="margin-right:0.02778em;">θ</span><span class="mclose">)</span></span></span></span></span>. </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">183</span> <span class="n">td_errors</span><span class="p">,</span> <span class="n">loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">loss_func</span><span class="p">(</span><span class="n">q_value</span><span class="p">,</span>
|
||
<span class="lineno">184</span> <span class="n">q_value</span><span class="o">.</span><span class="n">new_tensor</span><span class="p">(</span><span class="n">samples</span><span class="p">[</span><span class="s1">'action'</span><span class="p">]),</span>
|
||
<span class="lineno">185</span> <span class="n">double_q_value</span><span class="p">,</span> <span class="n">target_q_value</span><span class="p">,</span>
|
||
<span class="lineno">186</span> <span class="n">q_value</span><span class="o">.</span><span class="n">new_tensor</span><span class="p">(</span><span class="n">samples</span><span class="p">[</span><span class="s1">'done'</span><span class="p">]),</span>
|
||
<span class="lineno">187</span> <span class="n">q_value</span><span class="o">.</span><span class="n">new_tensor</span><span class="p">(</span><span class="n">samples</span><span class="p">[</span><span class="s1">'reward'</span><span class="p">]),</span>
|
||
<span class="lineno">188</span> <span class="n">q_value</span><span class="o">.</span><span class="n">new_tensor</span><span class="p">(</span><span class="n">samples</span><span class="p">[</span><span class="s1">'weights'</span><span class="p">]))</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-49'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-49'>#</a>
|
||
</div>
|
||
<p>Calculate priorities for replay buffer <span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.625em;vertical-align:-0.19444em;"></span><span class="mord"><span class="mord mathnormal">p</span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.31166399999999994em;"><span style="top:-2.5500000000000003em;margin-left:0em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mathnormal mtight">i</span></span></span></span><span class="vlist-s"></span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span><span class="mspace" style="margin-right:0.2777777777777778em;"></span><span class="mrel">=</span><span class="mspace" style="margin-right:0.2777777777777778em;"></span></span><span class="base"><span class="strut" style="height:1em;vertical-align:-0.25em;"></span><span class="mord">∣</span><span class="mord"><span class="mord coloredeq eqh" style=""><span class="mord mathnormal" style="margin-right:0.03785em">δ</span></span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.31166399999999994em;"><span style="top:-2.5500000000000003em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mathnormal mtight">i</span></span></span></span><span class="vlist-s"></span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span><span class="mord">∣</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span><span class="mbin">+</span><span class="mspace" style="margin-right:0.2222222222222222em;"></span></span><span class="base"><span class="strut" style="height:0.43056em;vertical-align:0em;"></span><span class="mord coloredeq eqg" style=""><span class="mord mathnormal" style="">ϵ</span></span></span></span></span></span> </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">191</span> <span class="n">new_priorities</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">td_errors</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">())</span> <span class="o">+</span> <span class="mf">1e-6</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-50'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-50'>#</a>
|
||
</div>
|
||
<p>Update replay buffer priorities </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">193</span> <span class="bp">self</span><span class="o">.</span><span class="n">replay_buffer</span><span class="o">.</span><span class="n">update_priorities</span><span class="p">(</span><span class="n">samples</span><span class="p">[</span><span class="s1">'indexes'</span><span class="p">],</span> <span class="n">new_priorities</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-51'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-51'>#</a>
|
||
</div>
|
||
<p>Set learning rate </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">196</span> <span class="k">for</span> <span class="n">pg</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">param_groups</span><span class="p">:</span>
|
||
<span class="lineno">197</span> <span class="n">pg</span><span class="p">[</span><span class="s1">'lr'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">learning_rate</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-52'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-52'>#</a>
|
||
</div>
|
||
<p>Zero out the previously calculated gradients </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">199</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-53'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-53'>#</a>
|
||
</div>
|
||
<p>Calculate gradients </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">201</span> <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-54'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-54'>#</a>
|
||
</div>
|
||
<p>Clip gradients </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">203</span> <span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">clip_grad_norm_</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">max_norm</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-55'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-55'>#</a>
|
||
</div>
|
||
<p>Update parameters based on gradients </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">205</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-56'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-56'>#</a>
|
||
</div>
|
||
<h3>Run training loop</h3>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">207</span> <span class="k">def</span> <span class="nf">run_training_loop</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-57'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-57'>#</a>
|
||
</div>
|
||
<p>Last 100 episode information </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">213</span> <span class="n">tracker</span><span class="o">.</span><span class="n">set_queue</span><span class="p">(</span><span class="s1">'reward'</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
|
||
<span class="lineno">214</span> <span class="n">tracker</span><span class="o">.</span><span class="n">set_queue</span><span class="p">(</span><span class="s1">'length'</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-58'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-58'>#</a>
|
||
</div>
|
||
<p>Copy to target network initially </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">217</span> <span class="bp">self</span><span class="o">.</span><span class="n">target_model</span><span class="o">.</span><span class="n">load_state_dict</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">state_dict</span><span class="p">())</span>
|
||
<span class="lineno">218</span>
|
||
<span class="lineno">219</span> <span class="k">for</span> <span class="n">update</span> <span class="ow">in</span> <span class="n">monit</span><span class="o">.</span><span class="n">loop</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">updates</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-59'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-59'>#</a>
|
||
</div>
|
||
<p><span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.43056em;vertical-align:0em;"></span><span class="mord coloredeq eqg" style=""><span class="mord mathnormal" style="">ϵ</span></span></span></span></span></span>, exploration fraction </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">221</span> <span class="n">exploration</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">exploration_coefficient</span><span class="p">(</span><span class="n">update</span><span class="p">)</span>
|
||
<span class="lineno">222</span> <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s1">'exploration'</span><span class="p">,</span> <span class="n">exploration</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-60'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-60'>#</a>
|
||
</div>
|
||
<p><span ><span class="katex"><span aria-hidden="true" class="katex-html"><span class="base"><span class="strut" style="height:0.8888799999999999em;vertical-align:-0.19444em;"></span><span class="mord coloredeq eqi" style=""><span class="mord mathnormal" style="margin-right:0.05278em">β</span></span></span></span></span></span> for prioritized replay </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">224</span> <span class="n">beta</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">prioritized_replay_beta</span><span class="p">(</span><span class="n">update</span><span class="p">)</span>
|
||
<span class="lineno">225</span> <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s1">'beta'</span><span class="p">,</span> <span class="n">beta</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-61'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-61'>#</a>
|
||
</div>
|
||
<p>Sample with current policy </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">228</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">exploration</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-62'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-62'>#</a>
|
||
</div>
|
||
<p>Start training after the buffer is full </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">231</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">replay_buffer</span><span class="o">.</span><span class="n">is_full</span><span class="p">():</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-63'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-63'>#</a>
|
||
</div>
|
||
<p>Train the model </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">233</span> <span class="bp">self</span><span class="o">.</span><span class="n">train</span><span class="p">(</span><span class="n">beta</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-64'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-64'>#</a>
|
||
</div>
|
||
<p>Periodically update target network </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">236</span> <span class="k">if</span> <span class="n">update</span> <span class="o">%</span> <span class="bp">self</span><span class="o">.</span><span class="n">update_target_model</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
|
||
<span class="lineno">237</span> <span class="bp">self</span><span class="o">.</span><span class="n">target_model</span><span class="o">.</span><span class="n">load_state_dict</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">state_dict</span><span class="p">())</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-65'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-65'>#</a>
|
||
</div>
|
||
<p>Save tracked indicators. </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">240</span> <span class="n">tracker</span><span class="o">.</span><span class="n">save</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-66'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-66'>#</a>
|
||
</div>
|
||
<p>Add a new line to the screen periodically </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">242</span> <span class="k">if</span> <span class="p">(</span><span class="n">update</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">%</span> <span class="mi">1_000</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
|
||
<span class="lineno">243</span> <span class="n">logger</span><span class="o">.</span><span class="n">log</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-67'>
|
||
<div class='docs doc-strings'>
|
||
<div class='section-link'>
|
||
<a href='#section-67'>#</a>
|
||
</div>
|
||
<h3>Destroy</h3>
|
||
<p>Stop the workers</p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">245</span> <span class="k">def</span> <span class="nf">destroy</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-68'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-68'>#</a>
|
||
</div>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">250</span> <span class="k">for</span> <span class="n">worker</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">workers</span><span class="p">:</span>
|
||
<span class="lineno">251</span> <span class="n">worker</span><span class="o">.</span><span class="n">child</span><span class="o">.</span><span class="n">send</span><span class="p">((</span><span class="s2">"close"</span><span class="p">,</span> <span class="kc">None</span><span class="p">))</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-69'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-69'>#</a>
|
||
</div>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">254</span><span class="k">def</span> <span class="nf">main</span><span class="p">():</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-70'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-70'>#</a>
|
||
</div>
|
||
<p>Create the experiment </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">256</span> <span class="n">experiment</span><span class="o">.</span><span class="n">create</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">'dqn'</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-71'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-71'>#</a>
|
||
</div>
|
||
<p>Configurations </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">259</span> <span class="n">configs</span> <span class="o">=</span> <span class="p">{</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-72'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-72'>#</a>
|
||
</div>
|
||
<p>Number of updates </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">261</span> <span class="s1">'updates'</span><span class="p">:</span> <span class="mi">1_000_000</span><span class="p">,</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-73'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-73'>#</a>
|
||
</div>
|
||
<p>Number of epochs to train the model with sampled data. </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">263</span> <span class="s1">'epochs'</span><span class="p">:</span> <span class="mi">8</span><span class="p">,</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-74'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-74'>#</a>
|
||
</div>
|
||
<p>Number of worker processes </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">265</span> <span class="s1">'n_workers'</span><span class="p">:</span> <span class="mi">8</span><span class="p">,</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-75'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-75'>#</a>
|
||
</div>
|
||
<p>Number of steps to run on each process for a single update </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">267</span> <span class="s1">'worker_steps'</span><span class="p">:</span> <span class="mi">4</span><span class="p">,</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-76'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-76'>#</a>
|
||
</div>
|
||
<p>Mini batch size </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">269</span> <span class="s1">'mini_batch_size'</span><span class="p">:</span> <span class="mi">32</span><span class="p">,</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-77'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-77'>#</a>
|
||
</div>
|
||
<p>Target model updating interval </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">271</span> <span class="s1">'update_target_model'</span><span class="p">:</span> <span class="mi">250</span><span class="p">,</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-78'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-78'>#</a>
|
||
</div>
|
||
<p>Learning rate. </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">273</span> <span class="s1">'learning_rate'</span><span class="p">:</span> <span class="n">FloatDynamicHyperParam</span><span class="p">(</span><span class="mf">1e-4</span><span class="p">,</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">1e-3</span><span class="p">)),</span>
|
||
<span class="lineno">274</span> <span class="p">}</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-79'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-79'>#</a>
|
||
</div>
|
||
<p>Configurations </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">277</span> <span class="n">experiment</span><span class="o">.</span><span class="n">configs</span><span class="p">(</span><span class="n">configs</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-80'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-80'>#</a>
|
||
</div>
|
||
<p>Initialize the trainer </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">280</span> <span class="n">m</span> <span class="o">=</span> <span class="n">Trainer</span><span class="p">(</span><span class="o">**</span><span class="n">configs</span><span class="p">)</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-81'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-81'>#</a>
|
||
</div>
|
||
<p>Run and monitor the experiment </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">282</span> <span class="k">with</span> <span class="n">experiment</span><span class="o">.</span><span class="n">start</span><span class="p">():</span>
|
||
<span class="lineno">283</span> <span class="n">m</span><span class="o">.</span><span class="n">run_training_loop</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-82'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-82'>#</a>
|
||
</div>
|
||
<p>Stop the workers </p>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">285</span> <span class="n">m</span><span class="o">.</span><span class="n">destroy</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='section' id='section-83'>
|
||
<div class='docs'>
|
||
<div class='section-link'>
|
||
<a href='#section-83'>#</a>
|
||
</div>
|
||
<h2>Run it</h2>
|
||
|
||
</div>
|
||
<div class='code'>
|
||
<div class="highlight"><pre><span class="lineno">289</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s2">"__main__"</span><span class="p">:</span>
|
||
<span class="lineno">290</span> <span class="n">main</span><span class="p">()</span></pre></div>
|
||
</div>
|
||
</div>
|
||
<div class='footer'>
|
||
<a href="https://labml.ai">labml.ai</a>
|
||
</div>
|
||
</div>
|
||
<script src=../../interactive.js?v=1"></script>
|
||
<script>
|
||
function handleImages() {
|
||
var images = document.querySelectorAll('p>img')
|
||
|
||
for (var i = 0; i < images.length; ++i) {
|
||
handleImage(images[i])
|
||
}
|
||
}
|
||
|
||
function handleImage(img) {
|
||
img.parentElement.style.textAlign = 'center'
|
||
|
||
var modal = document.createElement('div')
|
||
modal.id = 'modal'
|
||
|
||
var modalContent = document.createElement('div')
|
||
modal.appendChild(modalContent)
|
||
|
||
var modalImage = document.createElement('img')
|
||
modalContent.appendChild(modalImage)
|
||
|
||
var span = document.createElement('span')
|
||
span.classList.add('close')
|
||
span.textContent = 'x'
|
||
modal.appendChild(span)
|
||
|
||
img.onclick = function () {
|
||
console.log('clicked')
|
||
document.body.appendChild(modal)
|
||
modalImage.src = img.src
|
||
}
|
||
|
||
span.onclick = function () {
|
||
document.body.removeChild(modal)
|
||
}
|
||
}
|
||
|
||
handleImages()
|
||
</script>
|
||
</body>
|
||
</html> |