Learning Correlated Communication Topology in Multi-Agent Reinforcement learning. - Yali Du 001; Bo Liu 039; Vincent Moens; Ziqi Liu; Zhicheng Ren; Jun Wang 012; Xu Chen 017; Haifeng Zhang 002 (AAMAS, 2021)

Neural Auto-Curricula in Two-Player Zero-Sum Games. - Xidong Feng; Oliver Slumbers; Ziyu Wan; Bo Liu 039; Stephen McAleer; Ying Wen 001; Jun Wang 012; Yaodong Yang 001 (NeurIPS, 2021)

Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games. - Xidong Feng; Oliver Slumbers; Yaodong Yang 001; Ziyu Wan; Bo Liu 039; Stephen McAleer; Ying Wen 001; Jun Wang 012 (CoRR, 2021)

Settling the Bias and Variance of Meta-Gradient Estimation for Meta-Reinforcement Learning. - Bo Liu 039; Xidong Feng; Haifeng Zhang 002; Jun Wang 012; Yaodong Yang 001 (CoRR, 2021)

A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning. - Bo Liu 039; Xidong Feng; Jie Ren; Luo Mai; Rui Zhu; Haifeng Zhang 002; Jun Wang 012; Yaodong Yang 001 (NeurIPS, 2022)

EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine. - Jiayi Weng; Min Lin; Shengyi Huang; Bo Liu 039; Denys Makoviichuk; Viktor Makoviychuk; Zichen Liu; Yufan Song; Ting Luo; Yukun Jiang; Zhongwen Xu; Shuicheng Yan (NeurIPS, 2022)

TorchOpt: An Efficient Library for Differentiable Optimization. - Jie Ren; Xidong Feng; Bo Liu 039; Xuehai Pan; Yao Fu; Luo Mai; Yaodong Yang 001 (J. Mach. Learn. Res., 2023)

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism. - Xiao Bi; Deli Chen; Guanting Chen 002; Shanhuang Chen; Damai Dai; Chengqi Deng; Honghui Ding; Kai Dong 003; Qiushi Du; Zhe Fu; Huazuo Gao; Kaige Gao; et al. (CoRR, 2024)

DeepSeek-VL: Towards Real-World Vision-Language Understanding. - Haoyu Lu; Wen Liu; Bo Zhang; Bingxuan Wang; Kai Dong 003; Bo Liu 039; Jingxiang Sun; Tongzheng Ren; Zhuoshu Li; Hao Yang; Yaofeng Sun; Chengqi Deng; et al. (CoRR, 2024)

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model. - DeepSeek-AI; Aixin Liu; Bei Feng; Bin Wang 065; Bingxuan Wang; Bo Liu 039; Chenggang Zhao; Chengqi Deng; Chong Ruan; Damai Dai; Daya Guo; Dejian Yang; et al. (CoRR, 2024)

DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data. - Huajian Xin; Daya Guo; Zhihong Shao; Zhizhou Ren; Qihao Zhu; Bo Liu 039; Chong Ruan; Wenda Li; Xiaodan Liang (CoRR, 2024)

DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search. - Huajian Xin; Z. Z. Ren; Junxiao Song; Zhihong Shao; Wanjia Zhao; Haocheng Wang; Bo Liu 039; Liyue Zhang; Xuan Lu; Qiushi Du; Wenjun Gao; Qihao Zhu; et al. (CoRR, 2024)

Natural Language Reinforcement Learning. - Xidong Feng; Ziyu Wan; Haotian Fu; Bo Liu 039; Mengyue Yang; Girish A. Koushik; Zhiyuan Hu; Ying Wen 001; Jun Wang 012 (CoRR, 2024)

Grasp Multiple Objects With One Hand. - Yuyang Li; Bo Liu 039; Yiran Geng; Puhao Li; Yaodong Yang 001; Yixin Zhu 001; Tengyu Liu; Siyuan Huang 001 (IEEE Robotics Autom. Lett., 2024)

Differentiable Information Enhanced Model-Based Reinforcement Learning. - Xiaoyuan Zhang; Xinyan Cai; Bo Liu 039; Weidong Huang 008; Song-Chun Zhu; Siyuan Qi; Yaodong Yang 001 (AAAI, 2025)

TextArena. - Leon Guertler; Bobby Cheng; Simon Yu; Bo Liu 039; Leshem Choshen; Cheston Tan (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)