Reflect-RL: Two-Player Online RL Fine-Tuning for LMs

Runlong Zhou, Simon S. Du, Beibin Li

Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning

Zhaoyi Zhou, Chuning Zhu, Runlong Zhou, Qiwen Cui, Abhishek Gupta, Simon S. Du

Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments

Runlong Zhou, Zihan Zhang, Simon S. Du

Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes

Runlong Zhou, Ruosong Wang, Simon S. Du

Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization

Runlong Zhou, Zelin He, Yuandong Tian, Yi Wu, Simon S. Du

Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret

Jean Tarbouriech*, Runlong Zhou*, Simon S. Du, Matteo Pirotta, Michal Valko, Alessandro Lazaric

The Crucial Role of Samplers in Online Direct Preference Optimization

Ruizhe Shi*, Runlong Zhou*, Simon S. Du

Multi-Agent Reinforcement Learning from Human Feedback: Data Coverage and Algorithmic Techniques

Natalia Zhang*, Xinqi Wang*, Qiwen Cui*, Runlong Zhou, Sham M. Kakade, Simon S. Du