Reward Shaping via Meta-Learning

27 Jan 2019 Haosheng Zou Tongzheng Ren Dong Yan Hang Su Jun Zhu

Reward shaping is one of the most effective methods to tackle the crucial yet challenging problem of credit assignment in Reinforcement Learning (RL). However, designing shaping functions usually requires much expert knowledge and hand-engineering, and the difficulties are further exacerbated given multiple similar tasks to solve... (read more)

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