Chuning Zhu

According to our database, Chuning Zhu authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets.

Chuning Zhu, Raymond Yu, Siyuan Feng, Benjamin Burchfiel, Paarth Shah, Abhishek Gupta

CoRR, April, 2025

2024

ASID: Active Exploration for System Identification in Robotic Manipulation.

Marius Memmel, Andrew Wagenmaker, Chuning Zhu, Patrick Yin, Dieter Fox, Abhishek Gupta

CoRR, 2024

Transferable Reinforcement Learning via Generalized Occupancy Models.

Chuning Zhu, Xinqi Wang, Tyler Han, Simon S. Du, Abhishek Gupta

CoRR, 2024

Distributional Successor Features Enable Zero-Shot Policy Optimization.

Chuning Zhu, Xinqi Wang, Tyler Han, Simon S. Du, Abhishek Gupta

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning.

Zhaoyi Zhou, Chuning Zhu, Runlong Zhou, Qiwen Cui, Abhishek Gupta, Simon Shaolei Du

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ASID: Active Exploration for System Identification in Robotic Manipulation.

Marius Memmel, Andrew Wagenmaker, Chuning Zhu, Dieter Fox, Abhishek Gupta

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability.

Chuning Zhu, Max Simchowitz, Siri Gadipudi, Abhishek Gupta

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-Supervised Reinforcement Learning that Transfers using Random Features.

Boyuan Chen, Chuning Zhu, Pulkit Agrawal, Kaiqing Zhang, Abhishek Gupta

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Model-Based Reinforcement Learning via Latent-Space Collocation.

Oleh Rybkin, Chuning Zhu, Anusha Nagabandi, Kostas Daniilidis, Igor Mordatch, Sergey Levine

Proceedings of the 38th International Conference on Machine Learning, 2021