Mukesh Ghimire [CV]

I am a PhD student at Arizona State University. I work at the Design Informatics Lab at ASU. My research interests include game theory, reinforcement learning and optimization. My current focus is on differential games, especially those with incomplete information on one side.

You can reach me at: mghimire(at)asu(dot)edu

Publications

State-Constrained Zero-Sum Differential Games with One-Sided Information
Mukesh Ghimire, Lei Zhang, Zhe Xu, Yi Ren
International Conference on Machine Learning (ICML), 2024
[Paper] [Code]

Value Approximation for Two-Player General-Sum Differential Games with State Constraints
Lei Zhang, Mukesh Ghimire, Zhe Xu, Wenlong Zhang, Yi Ren
IEEE T-RO, 2024
[Paper] [Code]

Solving Two-Player General-Sum Games Between Swarms
Mukesh Ghimire, Lei Zhang, Wenlong Zhang, Yi Ren, Zhe Xu
American Control Conference (ACC), 2024
[Paper]

Pontryagin Neural Operator for Solving Parametric General-Sum Differential Games
Lei Zhang, Mukesh Ghimire, Zhe Xu, Wenlong Zhang, Yi Ren
Learning for Dynamics and Control (L4DC), 2024
[Paper]

Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games
Lei Zhang, Mukesh Ghimire, Zhe Xu, Wenlong Zhang, Yi Ren
International Conference on Robotics and Automation (ICRA), 2023
[Paper][Code]

When Shall I Estimate Your Intent? Costs and Benefits of Intent Inference in Multi-Agent Interactions
Sunny Amatya, Mukesh Ghimire, Yi Ren, Zhe Xu, Wenlong Zhang
American Control Conference (ACC), 2022
[Paper]