ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning

arXiv: Learning, 2019.

Cited by: 4|Bibtex|Views60
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Sparse reward is one of the most challenging problems in reinforcement learning (RL). Hindsight Experience Replay (HER) attempts to address this issue by converting a failed experience to a successful one by relabeling the goals. Despite its effectiveness, HER has limited applicability because it lacks a compact and universal goal repre...More

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