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SAC algorithm (#282)

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* SAC algorithm

* SAC - updates to agent (learn_from_batch), sac_head and sac_q_head to fix problem in gradient calculation. Now SAC agents is able to train.
gym_environment - fixing an error in access to gym.spaces

* Soft Actor Critic - code cleanup

* code cleanup

* V-head initialization fix

* SAC benchmarks

* SAC Documentation

* typo fix

* documentation fixes

* documentation and version update

* README typo
This commit is contained in:
guyk1971
2019-05-01 18:37:49 +03:00
committed by shadiendrawis
parent 33dc29ee99
commit 74db141d5e
92 changed files with 2812 additions and 402 deletions
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5
docs/components/agents/policy_optimization/ddpg.html
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@@ -29,7 +29,7 @@
<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="Direct Future Prediction" href="../other/dfp.html" />
<link rel="next" title="Soft Actor-Critic" href="sac.html" />
<link rel="prev" title="Clipped Proximal Policy Optimization" href="cppo.html" />
<link href="../../../_static/css/custom.css" rel="stylesheet" type="text/css">
@@ -122,6 +122,7 @@
</li>
</ul>
</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>
<li class="toctree-l2"><a class="reference internal" href="../value_optimization/dqn.html">Deep Q Networks</a></li>
@@ -297,7 +298,7 @@ values. If set to False, the terminal states reward will be taken as the target
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