Jiawei Huang

Risk-Sensitive Reinforcement Learning for Alleviating Exploration Dilemmas in Large Language Models

Learning to Steer Markovian Agents under Model Uncertainty

Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective