Search Results for author: Shi-Qi Liu

Found 3 papers, 1 papers with code

DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning

no code implementations16 Sep 2023 Xiao-Yin Liu, Xiao-Hu Zhou, Xiao-Liang Xie, Shi-Qi Liu, Zhen-Qiu Feng, Hao Li, Mei-Jiang Gui, Tian-Yu Xiang, De-Xing Huang, Zeng-Guang Hou

However, uncertainty estimation is unreliable and leads to poor performance in certain scenarios, and the previous methods ignore differences between the model data, which brings great conservatism.

D4RL Model-based Reinforcement Learning +3

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