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 18 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
What Do Agents Think Others Would Do? Level-2 Inverse Games for Inferring Agents' Estimates of Others' Objectives.
CoRR, August, 2025

Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety.
CoRR, May, 2025

Certifiable Reachability Learning Using a New Lipschitz Continuous Value Function.
IEEE Robotics Autom. Lett., April, 2025

Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach.
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024
The Computation of Approximate Feedback Stackelberg Equilibria in Multiplayer Nonlinear Constrained Dynamic Games.
SIAM J. Optim., 2024

To What Extent Do Open-Loop and Feedback Nash Equilibria Diverge in General-Sum Linear Quadratic Dynamic Games?
IEEE Control. Syst. Lett., 2024

Solving Reach-Avoid-Stay Problems Using Deep Deterministic Policy Gradients.
CoRR, 2024

Certifiable Deep Learning for Reachability Using a New Lipschitz Continuous Value Function.
CoRR, 2024

Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations.
CoRR, 2024

The computation of approximate feedback Stackelberg equilibria in multi-player nonlinear constrained dynamic games.
CoRR, 2024

A framework for evaluating human driver models using neuroimaging.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games.
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.
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.
CoRR, 2022

2021
On the Structural Target Controllability of Undirected Networks.
IEEE Trans. Autom. Control., 2021

Partition-Based Convex Relaxations for Certifying the Robustness of ReLU Neural Networks.
CoRR, 2021

Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Tightened Convex Relaxations for Neural Network Robustness Certification.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020


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