Accelerating Robotic Reinforcement Learning with Agent Guidance

Haojun Chen*, Zili Zou*, Chengdong Ma, Yaoxiang Pu, Haotong Zhang, Yuanpei Chen, Yaodong Yang

The first agent in the loop real-world reinforcement learning framework

Project website

A breakthrough on Hilbert’s 18th problem in positive curvature by AI.

Finding Kissing Numbers with Game-theoretic Reinforcement Learning

Chengdong Ma*, Théo Tao Zhaowei*, Pengyu Li*, Minghao Liu, Haojun Chen, Zihao Mao, Yuan Cheng, Yuan Qi, Yaodong Yang

Recorded in the standard databases for Kissing Number and Spherical Code

Research Documentary: English Version, Chinese Version

This work has been covered by:
科技日报 Science and Technology Daily
麻省理工科技评论 MIT Technology Review
环球科学 Scientific American

DexKnot: Generalizable Visuomotor Policy Learning for Dexterous Bag-Knotting Manipulation

Jiayuan Zhang*, Ruihai Wu*, Haojun Chen, Yuran Wang, Yifan Zhong, Ceyao Zhang, Yaodong Yang, Yuanpei Chen

Falcon: Fast Visuomotor Policies via Partial Denoising

Haojun Chen*, Minghao Liu*, Chengdong Ma, Xiaojian Ma, Zailin Ma, Huimin Wu, Yuanpei Chen, Yifan Zhong, Mingzhi Wang, Qing Li, Yaodong Yang

Code

Panacea: Pareto Alignment via Preference Adaptation for LLMs

Yifan Zhong*, Chengdong Ma*, Xiaoyuan Zhang*, Ziran Yang, Haojun Chen, Qingfu Zhang, Siyuan Qi, Yaodong Yang

MANSA: Learning Fast and Slow in Multi-Agent Systems

David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus Mcaleer, Feifei Tong, Jun Wang, Yaodong Yang