Ming Shi

Minimax Optimal Adversarial Reinforcement Learning

Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature Spaces

Provably Efficient Multi-Objective Bandit Algorithms under Preference-Centric Customization

RLHF with Inconsistent Multi-Agent Feedback Under General Function Approximation: A Theoretical Perspective

Provably Efficient Linear Bandits with Instantaneous Constraints in Non-Convex Feature Spaces