Pessimistic Auxiliary Policy for Offline Reinforcement Learning
arXiv:2602.23974v1 Announce Type: new Abstract: Offline reinforcement learning aims to learn an agent from pre-collected datasets, avoiding unsafe and inefficient real-time interaction. However, inevitable access …
Fan Zhang, Baoru Huang, Xin Zhang
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