Learning Nearly Decomposable Value Functions Via Communication Minimization. - Tonghan Wang 001; Jianhao Wang; Chongyi Zheng; Chongjie Zhang (ICLR, 2020)

Learning Domain Invariant Representations in Goal-conditioned Block MDPs. - Beining Han; Chongyi Zheng; Harris Chan; Keiran Paster; Michael R. Zhang; Jimmy Ba (NeurIPS, 2021)

BridgeData V2: A Dataset for Robot Learning at Scale. - Homer Rich Walke; Kevin Black; Tony Z. Zhao; Quan Vuong; Chongyi Zheng; Philippe Hansen-Estruch; Andre Wang He; Vivek Myers; Moo Jin Kim; Max Du; Abraham Lee; Kuan Fang; et al. (CoRL, 2023)

Stabilizing Contrastive RL: Techniques for Offline Goal Reaching. - Chongyi Zheng; Benjamin Eysenbach; Homer Walke; Patrick Yin; Kuan Fang; Ruslan Salakhutdinov; Sergey Levine (CoRR, 2023)

Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior. - Ruihan Yang; Zhuoqun Chen; Jianhan Ma; Chongyi Zheng; Yiyu Chen; Quan Nguyen 004; Xiaolong Wang 004 (CoRL, 2024)

Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data. - Chongyi Zheng; Benjamin Eysenbach; Homer Rich Walke; Patrick Yin; Kuan Fang; Ruslan Salakhutdinov; Sergey Levine (ICLR, 2024)

Contrastive Difference Predictive Coding. - Chongyi Zheng; Ruslan Salakhutdinov; Benjamin Eysenbach (ICLR, 2024)

Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making. - Vivek Myers; Chongyi Zheng; Anca D. Dragan; Sergey Levine; Benjamin Eysenbach (ICML, 2024)

Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning. - Chongyi Zheng; Jens Tuyls; Joanne Peng; Benjamin Eysenbach (ICLR, 2025)

Intention-Conditioned Flow Occupancy Models. - Chongyi Zheng; Seohong Park; Sergey Levine; Benjamin Eysenbach (CoRR, 2025)