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TD3 (#338)

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Gal Leibovich
2019-06-16 11:11:21 +03:00
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parent 8df3c46756
commit 7eb884c5b2
107 changed files with 2200 additions and 495 deletions
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docs/components/agents/policy_optimization/ddpg.html
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@@ -37,7 +37,7 @@
<link rel="stylesheet" href="../../../_static/css/custom.css" type="text/css" />
<link rel="index" title="Index" href="../../../genindex.html" />
<link rel="search" title="Search" href="../../../search.html" />
<link rel="next" title="Soft Actor-Critic" href="sac.html" />
<link rel="next" title="Twin Delayed Deep Deterministic Policy Gradient" href="td3.html" />
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<link href="../../../_static/css/custom.css" rel="stylesheet" type="text/css">
@@ -125,6 +125,7 @@
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="td3.html">Twin Delayed Deep Deterministic Policy Gradient</a></li>
<li class="toctree-l2"><a class="reference internal" href="sac.html">Soft Actor-Critic</a></li>
<li class="toctree-l2"><a class="reference internal" href="../other/dfp.html">Direct Future Prediction</a></li>
<li class="toctree-l2"><a class="reference internal" href="../value_optimization/double_dqn.html">Double DQN</a></li>
@@ -257,7 +258,7 @@ given <span class="math notranslate nohighlight">\(\nabla_a Q(s,a)\)</span>. Fin
<p>After every training step, do a soft update of the critic and actor target networks’ weights from the online networks.</p>
<dl class="class">
<dt id="rl_coach.agents.ddpg_agent.DDPGAlgorithmParameters">
<em class="property">class </em><code class="descclassname">rl_coach.agents.ddpg_agent.</code><code class="descname">DDPGAlgorithmParameters</code><a class="reference internal" href="../../../_modules/rl_coach/agents/ddpg_agent.html#DDPGAlgorithmParameters"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#rl_coach.agents.ddpg_agent.DDPGAlgorithmParameters" title="Permalink to this definition"></a></dt>
<em class="property">class </em><code class="sig-prename descclassname">rl_coach.agents.ddpg_agent.</code><code class="sig-name descname">DDPGAlgorithmParameters</code><a class="reference internal" href="../../../_modules/rl_coach/agents/ddpg_agent.html#DDPGAlgorithmParameters"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#rl_coach.agents.ddpg_agent.DDPGAlgorithmParameters" title="Permalink to this definition"></a></dt>
<dd><dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
@@ -297,7 +298,7 @@ values. If set to False, the terminal states reward will be taken as the target
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