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cs.AI2026

Pessimistic Auxiliary Policy for Offline Reinforcement Learning

Fan Zhang, Baoru Huang, Xin Zhang

Offline reinforcement learning aims to learn an agent from pre-collected datasets, avoiding unsafe and inefficient real-time interaction. However, inevitable access to out-ofdistri…