Jingqi Li

Orcid: 0000-0002-3731-3807

Affiliations:

University of California at Berkeley, Department of Electrical Engineering and Computer Sciences, CA, USA

According to our database¹, Jingqi Li authored at least 29 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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Bibliography

2026

Inverse Safety Filtering: Inferring Constraints from Safety Filters for Decentralized Coordination.

[BibT_eX]

[DOI]

CoRR, April, 2026

Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation.

[BibT_eX]

[DOI]

CoRR, March, 2026

From Global to Local: Hierarchical Probabilistic Verification for Reachability Learning.

[BibT_eX]

[DOI]

CoRR, March, 2026

Active Calibration of Reachable Sets Using Approximate Pick-to-Learn.

[BibT_eX]

[DOI]

CoRR, March, 2026

Efficiently Solving Mixed-Hierarchy Games with Quasi-Policy Approximations.

[BibT_eX]

[DOI]

CoRR, February, 2026

Evolutionary Games on Infinite Strategy Sets: Convergence to Nash Equilibria via Dissipativity.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., January, 2026

Generalized Information Gathering Under Dynamics Uncertainty.

[BibT_eX]

[DOI]

CoRR, January, 2026

2025

Multi-Agent Guided Policy Search for Non-Cooperative Dynamic Games.

[BibT_eX]

[DOI]

CoRR, September, 2025

What Do Agents Think Others Would Do? Level-2 Inverse Games for Inferring Agents' Estimates of Others' Objectives.

[BibT_eX]

[DOI]

Hamzah Khan

Jingqi Li

David Fridovich-Keil

CoRR, August, 2025

Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety.

[BibT_eX]

[DOI]

CoRR, May, 2025

Certifiable Reachability Learning Using a New Lipschitz Continuous Value Function.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., April, 2025

Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2025

Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Coordinating Distributed Energy Resources with Nodal Pricing in Distribution Networks: a Game-Theoretic Approach.

[BibT_eX]

[DOI]

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024

The Computation of Approximate Feedback Stackelberg Equilibria in Multiplayer Nonlinear Constrained Dynamic Games.

[BibT_eX]

[DOI]

SIAM J. Optim., 2024

To What Extent Do Open-Loop and Feedback Nash Equilibria Diverge in General-Sum Linear Quadratic Dynamic Games?

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2024

Solving Reach-Avoid-Stay Problems Using Deep Deterministic Policy Gradients.

[BibT_eX]

[DOI]

CoRR, 2024

Certifiable Deep Learning for Reachability Using a New Lipschitz Continuous Value Function.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

A framework for evaluating human driver models using neuroimaging.

[BibT_eX]

[DOI]

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

Constraint Inference in Control Tasks from Expert Demonstrations via Inverse Optimization.

[BibT_eX]

[DOI]

Dimitris Papadimitriou

Jingqi Li

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

2021

On the Structural Target Controllability of Undirected Networks.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

Partition-Based Convex Relaxations for Certifying the Robustness of ReLU Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Tightened Convex Relaxations for Neural Network Robustness Certification.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Jingqi Li

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