Chongyi Zheng

According to our database, Chongyi Zheng authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Intention-Conditioned Flow Occupancy Models.

Chongyi Zheng, Seohong Park, Sergey Levine, Benjamin Eysenbach

CoRR, June, 2025

Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning.

Chongyi Zheng, Jens Tuyls, Joanne Peng, Benjamin Eysenbach

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Contrastive Difference Predictive Coding.

Chongyi Zheng, Ruslan Salakhutdinov, Benjamin Eysenbach

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior.

Ruihan Yang, Zhuoqun Chen, Jianhan Ma, Chongyi Zheng, Yiyu Chen, Quan Nguyen, Xiaolong Wang

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

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

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, Chelsea Finn, Sergey Levine

Proceedings of the Conference on Robot Learning, 2023

2021

Learning Domain Invariant Representations in Goal-conditioned Block MDPs.

Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael R. Zhang, Jimmy Ba

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Learning Nearly Decomposable Value Functions Via Communication Minimization.

Tonghan Wang, Jianhao Wang, Chongyi Zheng, Chongjie Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020