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"Reward-Consistent Dynamics Models are Strongly Generalizable for Offline ..."

Fan-Ming Luo et al. (2024)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-07-29

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  - electronic edition @ openreview.net (open access)
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  dblp key:
  - conf/iclr/LuoXC024
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  persistent URL:
  - https://dblp.org/rec/conf/iclr/LuoXC024
Fan-Ming Luo, Tian Xu, Xingchen Cao, Yang Yu:
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning. ICLR 2024

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