Learn to Interpret Atari Agents

29 Dec 2018Zhao YangSong BaiLi ZhangPhilip H. S. Torr

Deep Reinforcement Learning (DeepRL) agents surpass human-level performances in a multitude of tasks. However, the direct mapping from states to actions makes it hard to interpret the rationale behind the decision making of agents... (read more)

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