Shuxin Li

About Shuxin Li

Shuxin Li, With an exceptional h-index of 5 and a recent h-index of 4 (since 2020), a distinguished researcher at Nanyang Technological University, specializes in the field of game theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Solving large-scale pursuit-evasion games using pre-trained strategies

Population-size-aware policy optimization for mean-field games

Offline Equilibrium Finding

A Unified Perspective on Deep Equilibrium Finding

Solving large-scale extensive-form network security games via neural fictitious self-play

CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space

Temporal watermarks for deep reinforcement learning models

Shuxin Li Information

University

Position

___

Citations(all)

71

Citations(since 2020)

67

Cited By

22

hIndex(all)

5

hIndex(since 2020)

4

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Shuxin Li Skills & Research Interests

game theory

Top articles of Shuxin Li

Solving large-scale pursuit-evasion games using pre-trained strategies

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Population-size-aware policy optimization for mean-field games

arXiv preprint arXiv:2302.03364

2023/2/7

Offline Equilibrium Finding

arXiv preprint arXiv:2207.05285

2022/7/12

A Unified Perspective on Deep Equilibrium Finding

arXiv preprint arXiv:2204.04930

2022/4/11

Solving large-scale extensive-form network security games via neural fictitious self-play

arXiv preprint arXiv:2106.00897

2021/6/2

CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space

arXiv preprint arXiv:2105.08440

2021/5/18

Temporal watermarks for deep reinforcement learning models

2021/5/3

See List of Professors in Shuxin Li University(Nanyang Technological University)