Han Zhong

Less is More: Improving LLM Alignment via Preference Data Selection

DPO Meets PPO: Reinforced Token Optimization for RLHF

BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning

The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability

Self-Exploring Language Models: Active Preference Elicitation for Online Alignment

Towards Robust Offline Reinforcement Learning under Diverse Data Corruption

Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret

Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms

Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity

Active Probabilistic Clustering