Tightened Convex Relaxations for Neural Network Robustness Certification. - Brendon G. Anderson; Ziye Ma; Jingqi Li 001; Somayeh Sojoudi (CDC, 2020)

Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems. - Jingqi Li 001; David Fridovich-Keil; Somayeh Sojoudi; Claire J. Tomlin (CDC, 2021)

Partition-Based Convex Relaxations for Certifying the Robustness of ReLU Neural Networks. - Brendon G. Anderson; Ziye Ma; Jingqi Li 001; Somayeh Sojoudi (CoRR, 2021)

On the Structural Target Controllability of Undirected Networks. - Jingqi Li 001; Ximing Chen 001; Sérgio Pequito; George J. Pappas; Victor M. Preciado (IEEE Trans. Autom. Control., 2021)

Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning. - Jingqi Li 001; Donggun Lee; Somayeh Sojoudi; Claire J. Tomlin (CoRR, 2022)

Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. - Jingqi Li 001; Chih-Yuan Chiu; Lasse Peters; Somayeh Sojoudi; Claire J. Tomlin; David Fridovich-Keil (AAMAS, 2023)

Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games. - Jingqi Li 001; Chih-Yuan Chiu; Lasse Peters; Fernando Palafox; Mustafa O. Karabag; Javier Alonso-Mora; Somayeh Sojoudi; Claire J. Tomlin; David Fridovich-Keil (CDC, 2023)

A framework for evaluating human driver models using neuroimaging. - Christopher Strong; Kaylene C. Stocking; Jingqi Li 001; Tianjiao Zhang; Jack L. Gallant; Claire J. Tomlin (L4DC, 2024)

The computation of approximate feedback Stackelberg equilibria in multi-player nonlinear constrained dynamic games. - Jingqi Li 001; Somayeh Sojoudi; Claire J. Tomlin; David Fridovich-Keil (CoRR, 2024)

Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations. - Jingqi Li 001; Anand Siththaranjan; Somayeh Sojoudi; Claire J. Tomlin; Andrea Bajcsy (CoRR, 2024)

Certifiable Deep Learning for Reachability Using a New Lipschitz Continuous Value Function. - Jingqi Li 001; Donggun Lee; Jaewon Lee; Kris Shengjun Dong; Somayeh Sojoudi; Claire J. Tomlin (CoRR, 2024)

Solving Reach-Avoid-Stay Problems Using Deep Deterministic Policy Gradients. - Gabriel Chenevert; Jingqi Li 001; Achyuta kannan; Sangjae Bae; Donggun Lee (CoRR, 2024)

To What Extent Do Open-Loop and Feedback Nash Equilibria Diverge in General-Sum Linear Quadratic Dynamic Games? - Chih-Yuan Chiu; Jingqi Li 001; Maulik Bhatt; Negar Mehr (IEEE Control. Syst. Lett., 2024)

The Computation of Approximate Feedback Stackelberg Equilibria in Multiplayer Nonlinear Constrained Dynamic Games. - Jingqi Li 001; Somayeh Sojoudi; Claire J. Tomlin; David Fridovich-Keil (SIAM J. Optim., 2024)

Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach. - Xinjie Liu; Jingqi Li 001; Filippos Fotiadis; Mustafa O. Karabag; Jesse Milzman; David Fridovich-Keil; Ufuk Topcu (AAMAS, 2025)

Certifiable Reachability Learning Using a New Lipschitz Continuous Value Function. - Jingqi Li 001; Donggun Lee; Jaewon Lee; Kris Shengjun Dong; Somayeh Sojoudi; Claire J. Tomlin (IEEE Robotics Autom. Lett., 2025)

Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety. - Jason J. Choi; Jasmine Jerry Aloor; Jingqi Li 001; Maria G. Mendoza; Hamsa Balakrishnan; Claire J. Tomlin (CoRR, 2025)

What Do Agents Think Others Would Do? Level-2 Inverse Games for Inferring Agents' Estimates of Others' Objectives. - Hamzah Khan; Jingqi Li 001; David Fridovich-Keil (CoRR, 2025)