Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic

7 Nov 2016Shixiang GuTimothy LillicrapZoubin GhahramaniRichard E. TurnerSergey Levine

Model-free deep reinforcement learning (RL) methods have been successful in a wide variety of simulated domains. However, a major obstacle facing deep RL in the real world is their high sample complexity... (read more)

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