Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning. - Runze Liu 002; Fengshuo Bai; Yali Du 001; Yaodong Yang 001 (NeurIPS, 2022)

Zero-shot Preference Learning for Offline RL via Optimal Transport. - Runze Liu 002; Yali Du 001; Fengshuo Bai; Jiafei Lyu; Xiu Li 001 (CoRR, 2023)

Enhancing Visual Generalization in Reinforcement Learning with Cycling Augmentation. - Shengjie Sun; Jiafei Lyu; Lu Li; Jiazhe Guo; Mengbei Yan; Runze Liu 002; Xiu Li 001 (ICANN (4), 2024)

SEABO: A Simple Search-Based Method for Offline Imitation Learning. - Jiafei Lyu; Xiaoteng Ma; Le Wan; Runze Liu 002; Xiu Li 001; Zongqing Lu 002 (ICLR, 2024)

PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation. - Runze Liu 002; Yali Du 001; Fengshuo Bai; Jiafei Lyu; Xiu Li 001 (ICML, 2024)

RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors. - Fengshuo Bai; Runze Liu 002; Yali Du 001; Ying Wen 001; Yaodong Yang 001 (AAAI, 2025)

Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint. - Jiafei Lyu; Mengbei Yan; Zhongjian Qiao; Runze Liu 002; Xiaoteng Ma; Deheng Ye; Jingwen Yang; Zongqing Lu 002; Xiu Li 001 (ICLR, 2025)

A large language model-driven reward design framework via dynamic feedback for reinforcement learning. - Shengjie Sun; Runze Liu 002; Jiafei Lyu; Jingwen Yang; Liangpeng Zhang; Xiu Li 001 (Knowl. Based Syst., 2025)

Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling. - Runze Liu 002; Junqi Gao; Jian Zhao; Kaiyan Zhang; Xiu Li 001; Biqing Qi; Wanli Ouyang; Bowen Zhou 002 (CoRR, 2025)

VLP: Vision-Language Preference Learning for Embodied Manipulation. - Runze Liu 002; Chenjia Bai; Jiafei Lyu; Shengjie Sun; Yali Du 001; Xiu Li 001 (CoRR, 2025)

GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning. - Jian Zhao; Runze Liu 002; Kaiyan Zhang; Zhimu Zhou; Junqi Gao; Dong Li 016; Jiafei Lyu; Zhouyi Qian; Biqing Qi; Xiu Li 001; Bowen Zhou 002 (CoRR, 2025)

ReviewRL: Towards Automated Scientific Review with RL. - Sihang Zeng; Kai Tian; Kaiyan Zhang; Yuru wang; Junqi Gao; Runze Liu 002; Sa Yang; Jingxuan Li; Xinwei Long; Jiaheng Ma; Biqing Qi; Bowen Zhou 002 (CoRR, 2025)