Author

Shuang Qiu

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#machine learning Preprint Oct 2026

Process Reward Modeling with Reliability- and Conservatism-Aware Bayesian Belief

BayesianPRM is proposed, which treats the process reward as a random variable within a reward hypothesis space and maintains a Bayesian belief over it, and yields a reliability- and conservatism-aware Bayesian belief, whose expectation determines the process reward.

Zhong-Jian Qiao, Zhi-Xiang Zhou, Jiafei Lyu et al. · 0 citations

#artificial intelligence Preprint Oct 2026

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

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 the environment is costly. Existing work on risk-sensitive RL focuses on online settings or specific risk measur...

Han-Zhen Wang, Boxiang Lyu, Zhong-Xiang Dai et al. · 0 citations