Jingqi Li

35 papers A 2Journal 27Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Active Calibration of Reachable Sets Using Approximate Pick-to-Learn.
CoRR
Sampada Deglurkar, Ebonye Smith, Jingqi Li, Claire J. Tomlin
2026 J jnl
Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation.
CoRR
Dong Ho Lee, Jingqi Li, Lasse Peters, Georgios Bakirtzis, David Fridovich-Keil
2026 J jnl
Efficiently Solving Mixed-Hierarchy Games with Quasi-Policy Approximations.
CoRR
Hamzah Khan, Dong Ho Lee, Jingqi Li, Tianyu Qiu, Christian Ellis, Jesse Milzman, Wesley Suttle, David Fridovich-Keil
2026 J jnl
Evolutionary Games on Infinite Strategy Sets: Convergence to Nash Equilibria via Dissipativity.
IEEE Trans. Autom. Control.
Brendon G. Anderson, Jingqi Li, Somayeh Sojoudi, Murat Arcak
2026 J jnl
From Global to Local: Hierarchical Probabilistic Verification for Reachability Learning.
CoRR
Ebonye Smith, Sampada Deglurkar, Jingqi Li, Gechen Qu, Claire J. Tomlin
2026 J jnl
Generalized Information Gathering Under Dynamics Uncertainty.
CoRR
Fernando Palafox, Jingqi Li, Jesse Milzman, David Fridovich-Keil
2025 J jnl
Certifiable Reachability Learning Using a New Lipschitz Continuous Value Function.
IEEE Robotics Autom. Lett.
Jingqi Li, Donggun Lee, Jaewon Lee, Kris Shengjun Dong, Somayeh Sojoudi, Claire J. Tomlin
2025 — conf
Coordinating Distributed Energy Resources with Nodal Pricing in Distribution Networks: a Game-Theoretic Approach.
CDC
Eli Brock, Jingqi Li, Javad Lavaei, Somayeh Sojoudi
2025 J jnl
Coordinating Distributed Energy Resources with Nodal Pricing in Distribution Networks: a Game-Theoretic Approach.
CoRR
Eli Brock, Jingqi Li, Javad Lavaei, Somayeh Sojoudi
2025 J jnl
Multi-Agent Guided Policy Search for Non-Cooperative Dynamic Games.
CoRR
Jingqi Li, Gechen Qu, Jason J. Choi, Somayeh Sojoudi, Claire J. Tomlin
2025 A conf
Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach.
AAMAS
Xinjie Liu, Jingqi Li, Filippos Fotiadis, Mustafa O. Karabag, Jesse Milzman, David Fridovich-Keil, Ufuk Topcu
2025 J jnl
Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety.
CoRR
Jason J. Choi, Jasmine Jerry Aloor, Jingqi Li, Maria G. Mendoza, Hamsa Balakrishnan, Claire J. Tomlin
2025 J jnl
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification.
J. Mach. Learn. Res.
Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi
2025 J jnl
What Do Agents Think Others Would Do? Level-2 Inverse Games for Inferring Agents' Estimates of Others' Objectives.
CoRR
Hamzah Khan, Jingqi Li, David Fridovich-Keil
2024 — conf
A framework for evaluating human driver models using neuroimaging.
L4DC
Christopher Strong, Kaylene C. Stocking, Jingqi Li, Tianjiao Zhang, Jack L. Gallant, Claire J. Tomlin
2024 J jnl
Certifiable Deep Learning for Reachability Using a New Lipschitz Continuous Value Function.
CoRR
Jingqi Li, Donggun Lee, Jaewon Lee, Kris Shengjun Dong, Somayeh Sojoudi, Claire J. Tomlin
2024 J jnl
Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations.
CoRR
Jingqi Li, Anand Siththaranjan, Somayeh Sojoudi, Claire J. Tomlin, Andrea Bajcsy
2024 J jnl
Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach.
CoRR
Xinjie Liu, Jingqi Li, Filippos Fotiadis, Mustafa O. Karabag, Jesse Milzman, David Fridovich-Keil, Ufuk Topcu
2024 J jnl
Solving Reach-Avoid-Stay Problems Using Deep Deterministic Policy Gradients.
CoRR
Gabriel Chenevert, Jingqi Li, Achyuta kannan, Sangjae Bae, Donggun Lee
2024 J jnl
The Computation of Approximate Feedback Stackelberg Equilibria in Multiplayer Nonlinear Constrained Dynamic Games.
SIAM J. Optim.
Jingqi Li, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2024 J jnl
The computation of approximate feedback Stackelberg equilibria in multi-player nonlinear constrained dynamic games.
CoRR
Jingqi Li, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2024 J jnl
To What Extent Do Open-Loop and Feedback Nash Equilibria Diverge in General-Sum Linear Quadratic Dynamic Games?
IEEE Control. Syst. Lett.
Chih-Yuan Chiu, Jingqi Li, Maulik Bhatt, Negar Mehr
2024 J jnl
To What Extent do Open-loop and Feedback Nash Equilibria Diverge in General-Sum Linear Quadratic Dynamic Games?
CoRR
Chih-Yuan Chiu, Jingqi Li, Maulik Bhatt, Negar Mehr
2023 — conf
Constraint Inference in Control Tasks from Expert Demonstrations via Inverse Optimization.
CDC
Dimitris Papadimitriou, Jingqi Li
2023 J jnl
Constraint Inference in Control Tasks from Expert Demonstrations via Inverse Optimization.
CoRR
Dimitris Papadimitriou, Jingqi Li
2023 A conf
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories.
AAMAS
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2023 J jnl
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories.
CoRR
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2023 — conf
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games.
CDC
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2023 J jnl
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games.
CoRR
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2022 J jnl
Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning.
CoRR
Jingqi Li, Donggun Lee, Somayeh Sojoudi, Claire J. Tomlin
2021 — conf
Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems.
CDC
Jingqi Li, David Fridovich-Keil, Somayeh Sojoudi, Claire J. Tomlin
2021 J jnl
On the Structural Target Controllability of Undirected Networks.
IEEE Trans. Autom. Control.
Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado
2021 J jnl
Partition-Based Convex Relaxations for Certifying the Robustness of ReLU Neural Networks.
CoRR
Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi
2020 — conf
Tightened Convex Relaxations for Neural Network Robustness Certification.
CDC
Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi
2020 J jnl
Tightened Convex Relaxations for Neural Network Robustness Certification.
CoRR
Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi