Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning

The combination of modern Reinforcement Learning and Deep Learning approaches holds the promise of making significant progress on challenging applications requiring both rich perception and policy-selection. The Arcade Learning Environment (ALE) provides a set of Atari games that represent a useful benchmark set of such applications... (read more)

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