Sample Efficient Actor-Critic with Experience Replay

international conference on learning representations, 2017.

Cited by: 365|Bibtex|Views151|Links
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Abstract:

This paper presents an actor-critic deep reinforcement learning agent with experience replay that is stable, sample efficient, and performs remarkably well on challenging environments, including the discrete 57-game Atari domain and several continuous control problems. To achieve this, the paper introduces several innovations, including t...More

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