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[1707. 01495] Hindsight Experience Replay - arXiv. org Dealing with sparse rewards is one of the biggest challenges in Reinforcement Learning (RL) We present a novel technique called Hindsight Experience Replay which allows sample-efficient learning from rewards which are sparse and binary and therefore avoid the need for complicated reward engineering It can be combined with an arbitrary off-policy RL algorithm and may be seen as a form of