MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control. - Xuehai Pan; Mickel Liu; Fangwei Zhong; Yaodong Yang 001; Song-Chun Zhu; Yizhou Wang 001 (NeurIPS, 2022)

Proactive Multi-Camera Collaboration for 3D Human Pose Estimation. - Hai Ci; Mickel Liu; Xuehai Pan; Fangwei Zhong; Yizhou Wang 001 (ICLR, 2023)

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset. - Jiaming Ji; Mickel Liu; Josef Dai; Xuehai Pan; Chi Zhang 017; Ce Bian; Boyuan Chen 008; Ruiyang Sun; Yizhou Wang 001; Yaodong Yang 001 (NeurIPS, 2023)

OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research. - Jiaming Ji; Jiayi Zhou; Borong Zhang; Juntao Dai; Xuehai Pan; Ruiyang Sun; Weidong Huang 008; Yiran Geng; Mickel Liu; Yaodong Yang 001 (CoRR, 2023)

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset. - Jiaming Ji; Mickel Liu; Juntao Dai; Xuehai Pan; Chi Zhang 017; Ce Bian; Boyuan Zhang; Ruiyang Sun; Yizhou Wang 001; Yaodong Yang 001 (CoRR, 2023)

Baichuan 2: Open Large-scale Language Models. - Aiyuan Yang; Bin Xiao; Bingning Wang; Borong Zhang; Ce Bian; Chao Yin; Chenxu Lv; Da Pan 003; Dian Wang; Dong Yan; Fan Yang 087; Fei Deng; et al. (CoRR, 2023)

Safe RLHF: Safe Reinforcement Learning from Human Feedback. - Josef Dai; Xuehai Pan; Ruiyang Sun; Jiaming Ji; Xinbo Xu; Mickel Liu; Yizhou Wang 001; Yaodong Yang 001 (ICLR, 2024)

AllReduce Scheduling with Hierarchical Deep Reinforcement Learning. - Yufan Wei; Mickel Liu; Wenfei Wu (CoRR, 2025)

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models. - Mickel Liu; Liwei Jiang; Yancheng Liang; Simon Shaolei Du; Yejin Choi 001; Tim Althoff; Natasha Jaques (CoRR, 2025)

SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning. - Bo Liu 039; Leon Guertler; Simon Yu; Zichen Liu; Penghui Qi; Daniel Balcells; Mickel Liu; Cheston Tan; Weiyan Shi; Min Lin; Wee Sun Lee; Natasha Jaques (CoRR, 2025)

Learning Pluralistic User Preferences through Reinforcement Learning Fine-tuned Summaries. - Hyunji Nam; Yanming Wan; Mickel Liu; Jianxun Lian; Natasha Jaques (CoRR, 2025)