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DHER: Hindsight Experience Replay for Dynamic Goals

ICLR 2019 • Meng Fang • Cheng Zhou • Bei Shi • Boqing Gong • Jia Xu • Tong Zhang

Dealing with sparse rewards is one of the most important challenges in reinforcement learning (RL), especially when a goal is dynamic (e.g., to grasp a moving object). Hindsight experience replay (HER) has been shown an effective solution to handling sparse rewards with fixed goals... (read more)

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METHOD TYPE
Experience Replay
Replay Memory
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