Scholar
Mukesh Ghimire
Google Scholar ID: ke5ZG7cAAAAJ
Arizona State University
Citations & Impact
Citations
33
H-index
4
i10-index
0
Publications
12
Co-authors
5
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Two-Player Zero-Sum Differential Games with One-Sided Information, with Zhe Xu, Yi Ren, published in Multi-Agent AI in the Real World Workshop at AAAI, 2025, Best Paper Award.
- A Scalable Solver for 2p0s Differential Games with One-Sided Payoff Information and Continuous Actions, States, and Time, with Lei Zhang, Zhe Xu, Yi Ren, under review.
- State-Constrained Zero-Sum Differential Games with One-Sided Information, with Lei Zhang, Zhe Xu, Yi Ren, published in International Conference on Machine Learning (ICML), 2024.
- Value Approximation for Two-Player General-Sum Differential Games with State Constraints, with Lei Zhang, Zhe Xu, Wenlong Zhang, Yi Ren, published in IEEE T-RO, 2024.
- Solving Two-Player General-Sum Games Between Swarms, with Lei Zhang, Wenlong Zhang, Yi Ren, Zhe Xu, published in American Control Conference (ACC), 2024.
- Pontryagin Neural Operator for Solving Parametric General-Sum Differential Games, with Lei Zhang, Zhe Xu, Wenlong Zhang, Yi Ren, published in Learning for Dynamics and Control (L4DC), 2024.
- Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games, with Lei Zhang, Zhe Xu, Wenlong Zhang, Yi Ren, published in International Conference on Robotics and Automation (ICRA), 2023.
- When Shall I Estimate Your Intent? Costs and Benefits of Intent Inference in Multi-Agent Interactions, with Sunny Amatya, Yi Ren, Zhe Xu, Wenlong Zhang, published in American Control Conference (ACC), 2022.
Research Experience
- Joining Mercedes-Benz Research and Development as a Machine Learning Intern in Fall 2025; Joining Amazon AWS as an Applied Scientist Intern in Summer 2025.
Education
- PhD, Arizona State University, specializing in game theory, reinforcement learning, and optimization.
Background
- PhD student at Arizona State University. Working at the Design Informatics Lab at ASU. Research interests include game theory, reinforcement learning, and optimization. Current focus is on differential games, especially those with incomplete information on one side.
Miscellany
- Email: mghimire(at)asu(dot)edu
