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

Fan-Ming Luo et al. (2023)

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DOI: 10.48550/ARXIV.2310.05422

access: open

type: Informal or Other Publication

metadata version: 2023-10-24

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  dblp key:
  - journals/corr/abs-2310-05422
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  - https://dblp.org/rec/journals/corr/abs-2310-05422
Fan-Ming Luo, Tian Xu, Xingchen Cao, Yang Yu:
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning. CoRR abs/2310.05422 (2023)

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