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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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docs/_modules/rl_coach/spaces.html
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@@ -828,7 +828,7 @@
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
<span class="n">state</span><span class="p">:</span> <span class="n">StateSpace</span><span class="p">,</span>
<span class="n">goal</span><span class="p">:</span> <span class="n">ObservationSpace</span><span class="p">,</span>
<span class="n">goal</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">ObservationSpace</span><span class="p">,</span> <span class="kc">None</span><span class="p">],</span>
<span class="n">action</span><span class="p">:</span> <span class="n">ActionSpace</span><span class="p">,</span>
<span class="n">reward</span><span class="p">:</span> <span class="n">RewardSpace</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">state</span> <span class="o">=</span> <span class="n">state</span>