Provably Efficient Risk-Sensitive Offline Reinforcement Learning via Optimized Certainty Equivalents.

arXiv:2610.21870v1 Announce Type: cross Abstract: Risk-sensitive reinforcement learning (RL) addresses decision-making under uncertainty and adverse outcomes. Learning risk-sensitive policies from fixed datasets is important when additional interaction with th