Deep Reinforcement Learning — Papers

Many recent advancements in AI research stem from breakthroughs in deep reinforcement learning. This is a complex and varied field, but Junhyuk Oh at the University of Michigan has compiled a great list of papers. The list, which originally appeared on GitHub, are sorted by time with most recent appearing first.


All Papers

Policy Gradient

Discrete Control

Visual Domain


Inverse Reinforcement Learning

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