Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning

19 May 2020Zhenhui YeYining ChenGuanghua SongBowei YangShen Fan

Exploration of the high-dimensional state action space is one of the biggest challenges in Reinforcement Learning (RL), especially in multi-agent domain. We present a novel technique called Experience Augmentation, which enables a time-efficient and boosted learning based on a fast, fair and thorough exploration to the environment... (read more)

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