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RL in Large Discrete Action Spaces - Wolpertinger Agent (#394)

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* Currently this is specific to the case of discretizing a continuous action space. Can easily be adapted to other case by feeding the kNN otherwise, and removing the usage of a discretizing output action filter
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Gal Leibovich
2019-09-08 12:53:49 +03:00
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parent fc50398544
commit 138ced23ba
46 changed files with 1193 additions and 51 deletions
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docs/features/environments.html
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@@ -95,7 +95,6 @@
<li class="toctree-l2"><a class="reference internal" href="algorithms.html">Algorithms</a></li>
<li class="toctree-l2 current"><a class="current reference internal" href="#">Environments</a></li>
<li class="toctree-l2"><a class="reference internal" href="benchmarks.html">Benchmarks</a></li>
<li class="toctree-l2"><a class="reference internal" href="batch_rl.html">Batch Reinforcement Learning</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../selecting_an_algorithm.html">Selecting an Algorithm</a></li>