Liu, Mickel

8 publications

ICLR 2026 Learning to Summarize User Information for Personalized Reinforcement Learning from Human Feedback HyunJi Nam, Yanming Wan, Mickel Liu, Peter F. Ahnn, Jianxun Lian, Natasha Jaques

ICLR 2026 SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning Bo Liu, Simon Yu, Zichen Liu, Leon Guertler, Penghui Qi, Daniel Balcells, Mickel Liu, Cheston Tan, Weiyan Shi, Min Lin, Wee Sun Lee, Natasha Jaques

NeurIPS 2025 Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond) Liwei Jiang, Yuanjun Chai, Margaret Li, Mickel Liu, Raymond Fok, Nouha Dziri, Yulia Tsvetkov, Maarten Sap, Yejin Choi

MLOSS 2024 OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research Jiaming Ji, Jiayi Zhou, Borong Zhang, Juntao Dai, Xuehai Pan, Ruiyang Sun, Weidong Huang, Yiran Geng, Mickel Liu, Yaodong Yang

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

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

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

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