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20172025
most citedEfficient Learning of Distributed Linear-Quadratic Controllers

8 citations · 38 across the 43 of their papers we have counts for

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12 papers · 1 filter

eess.SY2025

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

Jingqi Li, Gechen Qu, Jason J. Choi +2

Multi-agent reinforcement learning (MARL) optimizes strategic interactions in non-cooperative dynamic games, where agents have misaligned objectives. However, data-driven methods s…

eess.SY2025

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

Eli Brock, Jingqi Li, Javad Lavaei +1

We propose a real-time nodal pricing mechanism for cost minimization and voltage control in a distribution network with autonomous distributed energy resources and analyze the resu…

eess.SY2024

Certifiable Reachability Learning Using a New Lipschitz Continuous Value Function

Jingqi Li, Donggun Lee, Jaewon Lee +3

We propose a new reachability learning framework for high-dimensional nonlinear systems, focusing on reach-avoid problems. These problems require computing the reach-avoid set, whi…

eess.SY2024

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

Jingqi Li, Anand Siththaranjan, Somayeh Sojoudi +2

Autonomous agents should coordinate effectively without prior knowledge of others' intents. While prior work has focused on intent inference, we address the inverse problem: how ag…

eess.SY2023

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

Jingqi Li, Chih-Yuan Chiu, Lasse Peters +6

Decision-making in multi-player games can be extremely challenging, particularly under uncertainty. In this work, we propose a new sample-based approximation to a class of stochast…

eess.SY2022

Distributed Optimal Control of Graph Symmetric Systems via Graph Filters

Fengjun Yang, Fernando Gama, Somayeh Sojoudi +1

Designing distributed optimal controllers subject to communication constraints is a difficult problem unless structural assumptions are imposed on the underlying dynamics and infor…