Author

Yu-Hang Jiao

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HiRL: Dealing with Non-stationarity in Hierarchical Reinforcement Learning via High-level Relearning

High-level ReLearning is proposed, a novel HRL approach to address the problem of non-stationary environments at the high level since the low-level policy is constantly changing and a student network is introduced to escape the inﬂuence of past data.

Yu-Hang Jiao, Yoshimasa Tsuruoka · 0 citations