(*co-first author) Google Scholar, ResearchGate
Journals:
[J.8] J. Li, D. Lee, J. Lee, K. Dong, S. Sojoudi, C. Tomlin, "Certifiable Reachability Learning Using a New Lipschitz Continuous Value Function", IEEE Robotics and Automation Letters (RA-L), 2025. [code]
[J.7] B. Anderson, J. Li, S. Sojoudi, M. Arcak, "Evolutionary Games on Infinite Strategy Sets: Convergence to Nash Equilibria via Dissipativity", IEEE Transactions on Automatic Control (TAC), 2025.
[J.6] X. Liu, J. Li, F. Fotiadis, M. O. Karabag, J. Milzman, D. Fridovich-Keil, U. Topcu, "Approximate Feedback Nash Equilibria with Sparse Inter-Agent Dependencies", submitted to IEEE Transactions on Automatic Control (TAC), 2025.
[J.5] B. Anderson, Z. Ma, J. Li, and S. Sojoudi, "Partition-based Convex Relaxations for Certifying the Robustness of ReLU Neural Networks", Journal of Machine Learning Research (JMLR), 2025.
[J.4] J. Li, S. Sojoudi, C. Tomlin, D. Fridovich-Keil, "The computation of approximate feedback Stackelberg equilibria in multi-player nonlinear constrained dynamic games", SIAM Journal on Optimization (SIOPT), 2024. [code]
[J.3] C. Chiu*, J. Li*, M. Bhatt, N. Mehr, "To what extent do open-loop and feedback Nash equilibria diverge in general-sum linear quadratic dynamic games?", IEEE Control Systems Letters (L-CSS), 2024.
[J.2] J. Li, A. Siththaranjan, S. Sojoudi, C. Tomlin, A. Bajcsy, "Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations", conditionally accepted by IEEE Transactions on Control Systems Technology (TCST), 2024.
[J.1] J. Li, X. Chen, S. Pequito, G. J. Pappas, and V. M. Preciado, "On the structural target controllability of undirected networks", IEEE Transactions on Automatic Control (TAC), 2020
Conferences:
[C.16] H. Khan, D. Lee, J. Li, T. Qiu, C. Ellis, J. Milzman, W. Suttle, D. Fridovich-Keil, "Efficiently Solving Mixed-Hierarchy Games with Quasi-Policy Approximations", submitted to the 17th World Symposium on Algorithmic Foundations of Robotics (WAFR), 2026.
[C.15] F. Palafox, J. Li, J. Milzman, D. Fridovich-Keil, "Generalized Information Gathering Under Dynamics Uncertainty", submitted to the 17th World Symposium on Algorithmic Foundations of Robotics (WAFR), 2026.
[C.14] H. Khan*, J. Li*, D. Fridovich-Keil, "What Do Agents Think Others Would Do? Level-2 Inverse Games for Inferring Agents' Estimates of Others' Objectives", submitted to AAMAS, 2026.
[C.13] J. Li*, G. Qu*, J. Choi, S. Sojoudi, C. Tomlin, "Multi-Agent Guided Policy Search for Non-Cooperative Dynamic Games", accepted by IEEE American Control Conference (ACC), 2026. [code]
[C.12] G. Chenevert, J. Li, S. Bae, D. Lee, "Solving Reach-Avoid-Stay Problems Using Deep Deterministic Policy Gradients", accepted by IEEE International Conference on Robotics & Automation (ICRA), 2026.
[C.11] J. Choi*, J. Aloor*, J. Li*, M. Gabriela Mendoza, H. Balakrishnan, C. Tomlin, "Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety", Robotics, Science and Systems (RSS), 2025.
[C.10] E. Brock, J. Li, J. Lavaei, S. Sojoudi, "Coordinating Distributed Energy Resources with Nodal Pricing in Distribution Networks: a Game-Theoretic Approach", IEEE CDC, 2025.
[C.9] X. Liu, J. Li, F. Fotiadis, M. O Karabag, J. Milzman, D. Fridovich-Keil, U. Topcu, "Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach", AAMAS, 2025.
[C.8] C. Strong, K. Stocking, J. Li, T. Zhang, J. Gallant, C. Tomlin, "A framework for evaluating human driver models using neuroimaging", Learning for Dynamics and Control (L4DC), 2024.
[C.7] D. Papadimitriou, J. Li, "Constraint Inference in Control Tasks from Expert Demonstrations via Inverse Optimization", IEEE CDC, 2023.
[C.6] J. Li, C. Chiu, L. Peters, F. Palafox, M. Karabag, J. Alonso-Mora, S. Sojoudi, C. Tomlin, D. Fridovich-Keil, "Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games", IEEE CDC, 2023.
[C.5] J. Li, C. Chiu, L. Peters, S. Sojoudi, C. Tomlin, D. Fridovich-Keil, "Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories", AAMAS 2023. [code]
[C.4] J. Li, D. Fridovich-Keil, S. Sojoudi, C. Tomlin, "Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems", in Proceedings of the 60th IEEE Conference on Decision and Control, 2021.
[C.3] B. Anderson, Z. Ma, J. Li and S. Sojoudi, "Tightened convex relaxations for neural network robustness certification", in Proceedings of the 59th IEEE Conference on Decision and Control, 2020.
[C.2] J. Li, X. Chen, S. Pequito, G. J. Pappas, and V. M. Preciado, "Resilient structural stabilizability of undirected networks", in Proceedings of IEEE American Control Conference, 2019.
[C.1] J. Li, X. Chen, S. Pequito, G. J. Pappas, and V. M. Preciado, "Structural target controllability of undirected networks", in Proceedings of the 57th IEEE Conference on Decision and Control, 2018, Invited paper.
