Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance

Offline reinforcement learning (RL) optimizes the policy on a previously collected dataset without any interactions with the environment, yet usually suffers from the distributional shift problem. To mitigate this issue, a typical solution is to impose a policy constraint on a policy improvement obj...

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Hauptverfasser:	Yang, Qisen, Wang, Shenzhi, Zhang, Qihang, Huang, Gao, Song, Shiji
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning
Online-Zugang:	Volltext bestellen
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