most citedLearning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning

16 citations · 16 across the 1 of their papers we have counts for

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1 paper

cs.LG2017★ 16 cited

Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning

Sahil Sharma, Aravind Suresh, Rahul Ramesh +1

Deep Reinforcement Learning (DRL) methods have performed well in an increasing numbering of high-dimensional visual decision making domains. Among all such visual decision making p…