Constraint Learning in Multi-Agent Dynamic Games from Demonstrations of Local Nash Interactions
Published in IEEE Robotics and Automation Letters, Under Review, 2025
This paper studies how we can infer the untold hidden constraints between agent interactions by formulating an inverse optimization problem.
Recommended citation: Zhouyu Zhang, Chih-Yuan Chiu, and Glen Chou (2025). https://arxiv.org/pdf/2508.19945
Download Paper