GUOJUN XIONG

Rule-Bottleneck RL: Learning to Decide and Explain for Sequential Resource Allocation via LLM Agents

Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data

On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations

DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback