Jingqi Li

Jingqi Li

University of California, Berkeley

H-index: 6

North America-United States

About Jingqi Li

Jingqi Li, With an exceptional h-index of 6 and a recent h-index of 5 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Control theory, optimization, game theory.

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

Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations

The computation of approximate feedback Stackelberg equilibria in multi-player nonlinear constrained dynamic games

Constraint Inference in Control Tasks from Expert Demonstrations via Inverse Optimization

Scenario-game admm: A parallelized scenario-based solver for stochastic noncooperative games

Cost inference for feedback dynamic games from noisy partial state observations and incomplete trajectories

Infinite-horizon reach-avoid zero-sum games via deep reinforcement learning

Augmented lagrangian method for instantaneously constrained reinforcement learning problems

Partition-based convex relaxations for certifying the robustness of relu neural networks

Jingqi Li Information

University

Position

PhD student EECS at

Citations(all)

105

Citations(since 2020)

99

Cited By

35

hIndex(all)

6

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Jingqi Li Skills & Research Interests

Control theory

optimization

game theory

Top articles of Jingqi Li

Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations

arXiv preprint arXiv:2402.10182

2024/2/15

The computation of approximate feedback Stackelberg equilibria in multi-player nonlinear constrained dynamic games

arXiv preprint arXiv:2401.15745

2024/1/28

Constraint Inference in Control Tasks from Expert Demonstrations via Inverse Optimization

2023/12/13

Scenario-game admm: A parallelized scenario-based solver for stochastic noncooperative games

2023/12/13

Cost inference for feedback dynamic games from noisy partial state observations and incomplete trajectories

arXiv preprint arXiv:2301.01398

2023/1/4

Infinite-horizon reach-avoid zero-sum games via deep reinforcement learning

arXiv preprint arXiv:2203.10142

2022/3/18

Augmented lagrangian method for instantaneously constrained reinforcement learning problems

2021/12/14

Partition-based convex relaxations for certifying the robustness of relu neural networks

arXiv preprint arXiv:2101.09306

2021

Tightened convex relaxations for neural network robustness certification

2020/12/14

On the structural target controllability of undirected networks

IEEE Transactions on Automatic Control

2020/11/30

See List of Professors in Jingqi Li University(University of California, Berkeley)

Co-Authors

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