Generalizable Episodic Memory for Deep Reinforcement Learning. - Hao Hu 006; Jianing Ye; Guangxiang Zhu; Zhizhou Ren; Chongjie Zhang (ICML, 2021)

Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization. - Jianhao Wang; Zhizhou Ren; Beining Han; Jianing Ye; Chongjie Zhang (NeurIPS, 2021)

Towards Global Optimality in Cooperative MARL with Sequential Transformation. - Jianing Ye; Chenghao Li 002; Jianhao Wang; Chongjie Zhang (CoRR, 2022)

Unsupervised Behavior Extraction via Random Intent Priors. - Hao Hu 006; Yiqin Yang; Jianing Ye; Ziqing Mai; Chongjie Zhang (NeurIPS, 2023)

Efficient Multi-agent Reinforcement Learning by Planning. - Qihan Liu; Jianing Ye; Xiaoteng Ma; Jun Yang 028; Bin Liang 001; Chongjie Zhang (ICLR, 2024)

Bayesian Design Principles for Offline-to-Online Reinforcement Learning. - Hao Hu 006; Yiqin Yang; Jianing Ye; Chengjie Wu; Ziqing Mai; Yujing Hu; Tangjie Lv; Changjie Fan; Qianchuan Zhao; Chongjie Zhang (ICML, 2024)

Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective. - Yang Zhang; Xinran Li; Jianing Ye; Delin Qu; Shuang Qiu; Chongjie Zhang; Xiu Li 001; Chenjia Bai (CoRR, 2025)