Conservative Query and Adaptive Regularization for Offline RL Under Uncertainty Estimation

Li-Rong Zhou, Qin-Wen Luo, Sheng-Jun Huang

Offline reinforcement learning (RL) aims to learn an effective policy from a static dataset, but its performance is fundamentally limited by dataset coverage. Action preference que…