Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret. - Jean Tarbouriech; Runlong Zhou; Simon S. Du; Matteo Pirotta; Michal Valko; Alessandro Lazaric (NeurIPS, 2021)

Understanding Curriculum Learning in Policy Optimization for Solving Combinatorial Optimization Problems. - Runlong Zhou; Yuandong Tian; Yi Wu 013; Simon S. Du (CoRR, 2022)

Horizon-Free Reinforcement Learning for Latent Markov Decision Processes. - Runlong Zhou; Ruosong Wang; Simon S. Du (CoRR, 2022)

Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes. - Runlong Zhou; Ruosong Wang; Simon Shaolei Du (ICML, 2023)

Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments. - Runlong Zhou; Zihan Zhang; Simon Shaolei Du (ICML, 2023)

Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization. - Runlong Zhou; Zelin He; Yuandong Tian; Yi Wu 013; Simon Shaolei Du (Trans. Mach. Learn. Res., 2023)

Reflect-RL: Two-Player Online RL Fine-Tuning for LMs. - Runlong Zhou; Simon S. Du; Beibin Li (ACL (1), 2024)

Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning. - Zhaoyi Zhou; Chuning Zhu; Runlong Zhou; Qiwen Cui; Abhishek Gupta 004; Simon Shaolei Du (ICLR, 2024)

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 (CoRR, 2024)

Transformers are Efficient Compilers, Provably. - Xiyu Zhai; Runlong Zhou; Liao Zhang; Simon Shaolei Du (CoRR, 2024)

The Crucial Role of Samplers in Online Direct Preference Optimization. - Ruizhe Shi; Runlong Zhou; Simon Shaolei Du (ICLR, 2025)

Extragradient Preference Optimization (EGPO): Beyond Last-Iterate Convergence for Nash Learning from Human Feedback. - Runlong Zhou; Maryam Fazel; Simon S. Du (CoRR, 2025)

CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models. - Runlong Zhou; Yi Zhang (CoRR, 2025)

Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO. - Ruizhe Shi; Minhak Song; Runlong Zhou; Zihan Zhang; Maryam Fazel; Simon S. Du (CoRR, 2025)

Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs. - Shulun Chen; Runlong Zhou; Zihan Zhang; Maryam Fazel; Simon S. Du (CoRR, 2025)