Beware of Instantaneous Dependence in Reinforcement Learning

Playing an important role in Model-Based Reinforcement Learning (MBRL), environment models aim to predict future states based on the past. Existing works usually ignore instantaneous dependence in the state, that is, assuming that the future state variables are conditionally independent given the pa...

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Veröffentlicht in:	arXiv.org 2023-03
Hauptverfasser:	Zhu, Zhengmao, Liu, Yuren, Tian, Honglong, Yang, Yu, Zhang, Kun
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Environment models Independent variables
Online-Zugang:	Volltext
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