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Jingqi Li
Jingqi Li
PhD student, EECS at UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
On the structural target controllability of undirected networks
J Li, X Chen, S Pequito, GJ Pappas, VM Preciado
IEEE Transactions on Automatic Control 66 (10), 4836-4843, 2020
442020
Tightened convex relaxations for neural network robustness certification
BG Anderson, Z Ma, J Li, S Sojoudi
2020 59th IEEE Conference on Decision and Control (CDC), 2190-2197, 2020
392020
Augmented lagrangian method for instantaneously constrained reinforcement learning problems
J Li, D Fridovich-Keil, S Sojoudi, CJ Tomlin
2021 60th IEEE Conference on Decision and Control (CDC), 2982-2989, 2021
182021
Cost inference for feedback dynamic games from noisy partial state observations and incomplete trajectories
J Li, CY Chiu, L Peters, S Sojoudi, C Tomlin, D Fridovich-Keil
arXiv preprint arXiv:2301.01398, 2023
142023
Infinite-horizon reach-avoid zero-sum games via deep reinforcement learning
J Li, D Lee, S Sojoudi, CJ Tomlin
arXiv preprint arXiv:2203.10142, 2022
132022
Resilient structural stabilizability of undirected networks
J Li, X Chen, S Pequito, GJ Pappas, VM Preciado
2019 American Control Conference (ACC), 5173-5178, 2019
72019
Temperature effects on excited state of strong-coupling polaron in an asymmetric RbCl quantum dot
LQ Feng, JQ Li, JL Xiao
Modern Physics Letters B 29 (02), 1450261, 2015
62015
Constraint inference in control tasks from expert demonstrations via inverse optimization
D Papadimitriou, J Li
2023 62nd IEEE Conference on Decision and Control (CDC), 1762-1769, 2023
52023
Partition-based convex relaxations for certifying the robustness of relu neural networks
BG Anderson, Z Ma, J Li, S Sojoudi
arXiv preprint arXiv:2101.09306, 2021
52021
The Computation of Approximate Feedback Stackelberg Equilibria in Multiplayer Nonlinear Constrained Dynamic Games
J Li, S Sojoudi, CJ Tomlin, D Fridovich-Keil
SIAM Journal on Optimization 34 (4), 3723-3749, 2024
42024
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games
J Li, CY Chiu, L Peters, F Palafox, M Karabag, J Alonso-Mora, S Sojoudi, ...
2023 62nd IEEE Conference on Decision and Control (CDC), 8093-8099, 2023
32023
Certifiable Deep Learning for Reachability Using a New Lipschitz Continuous Value Function
J Li, D Lee, J Lee, KS Dong, S Sojoudi, C Tomlin
arXiv preprint arXiv:2408.07866, 2024
12024
To What Extent do Open-loop and Feedback Nash Equilibria Diverge in General-Sum Linear Quadratic Dynamic Games?
CY Chiu, J Li, M Bhatt, N Mehr
IEEE Control Systems Letters, 2024
2024
Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach
X Liu, J Li, F Fotiadis, MO Karabag, J Milzman, D Fridovich-Keil, U Topcu
arXiv preprint arXiv:2410.16441, 2024
2024
Solving Reach-Avoid-Stay Problems Using Deep Deterministic Policy Gradients
G Chenevert, J Li, S Bae, D Lee
arXiv preprint arXiv:2410.02898, 2024
2024
Control theoretical models for visuomotor control explains brain activity during naturalistic driving
T Zhang, CA Strong, K Stocking, J Li, C Tomlin, JL Gallant
Journal of Vision 24 (10), 1091-1091, 2024
2024
A framework for evaluating human driver models using neuroimaging
C Strong, K Stocking, J Li, T Zhang, J Gallant, C Tomlin
6th Annual Learning for Dynamics & Control Conference, 1565-1578, 2024
2024
Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations
J Li, A Siththaranjan, S Sojoudi, C Tomlin, A Bajcsy
arXiv preprint arXiv:2402.10182, 2024
2024
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