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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
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docs/_sources/components/agents/index.rst.txt
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@@ -21,8 +21,6 @@ A detailed description of those algorithms can be found by navigating to each of
imitation/cil
policy_optimization/cppo
policy_optimization/ddpg
policy_optimization/td3
policy_optimization/sac
other/dfp
value_optimization/double_dqn
value_optimization/dqn
@@ -36,6 +34,10 @@ A detailed description of those algorithms can be found by navigating to each of
policy_optimization/ppo
value_optimization/rainbow
value_optimization/qr_dqn
policy_optimization/sac
policy_optimization/td3
policy_optimization/wolpertinger
.. autoclass:: rl_coach.base_parameters.AgentParameters