Zhancun Mu

According to our database, Zhancun Mu authored at least 9 papers between 2024 and 2025.

Collaborative distances:

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

2025

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents.

Shaofei Cai, Zhancun Mu, Haiwen Xia, Bowei Zhang, Anji Liu, Yitao Liang

CoRR, July, 2025

ROCKET-2: Steering Visuomotor Policy via Cross-View Goal Alignment.

Shaofei Cai, Zhancun Mu, Anji Liu, Yitao Liang

CoRR, March, 2025

ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting.

Shaofei Cai, Zihao Wang, Kewei Lian, Zhancun Mu, Xiaojian Ma, Anji Liu, Yitao Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

MineStudio: A Streamlined Package for Minecraft AI Agent Development.

Shaofei Cai, Zhancun Mu, Kaichen He, Bowei Zhang, Xinyue Zheng, Anji Liu, Yitao Liang

CoRR, 2024

ROCKET-1: Master Open-World Interaction with Visual-Temporal Context Prompting.

Shaofei Cai, Zihao Wang, Kewei Lian, Zhancun Mu, Xiaojian Ma, Anji Liu, Yitao Liang

CoRR, 2024

GlobalTomo: A global dataset for physics-ML seismic wavefield modeling and FWI.

Shiqian Li, Zhi Li, Zhancun Mu, Shiji Xin, Zhixiang Dai, Kuangdai Leng, Ruihua Zhang, Xiaodong Song, Yixin Zhu

CoRR, 2024

OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents.

Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian (Shawn) Ma, Yitao Liang

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

A Contextual Combinatorial Bandit Approach to Negotiation.

Yexin Li, Zhancun Mu, Siyuan Qi

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

Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning.

Haoqi Yuan, Zhancun Mu, Feiyang Xie, Zongqing Lu

Proceedings of the Twelfth International Conference on Learning Representations, 2024