Publications
The most up-to-date version of the list of publications can be found on my Google Scholar profile.
Preprints
- Equilibrium Selection for Multi-agent Reinforcement Learning: A Unified Framework
Runyu Zhang, Jeff Shamma, Na Li
Journal Papers
- On the Optimal Control of Network LQR with Spatially-exponential Decaying Structure
Runyu Zhang, Weiyu Li, Na Li
Automatica (accepeted), 2024 - Gradient play in stochastic games: stationary points, convergence, and sample complexity
Runyu Zhang, Zhaolin Ren, Na Li
Transactions on Automatic Control (TAC), 2024 - Adaptive Model Predictive Control with Ensembled Multi-Time Scale Deep-learning Models for Smart Control of Natural Ventilation
Xinzhu Chen, Xu Han, Ali Malkawi, Runyu Zhang, Na Li
Building and Environment, 2023 - Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
Yingying Li, Yujie Tang, Runyu Zhang, Na Li
Transactions on Automatic Control (TAC), 2022
Conference Papers
- Multi-Agent Coverage Control with Transient Behavior Consideration
Runyu Zhang, Haitong Ma, Na Li
Learning for Dynamics and Control Conference (L4DC), 2024 - Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity
Runyu Zhang, Yang Hu, Na Li
International Conference on Learning Representations (ICLR), 2024 - Scalable Reinforcement Learning for Linear-Quadratic Control of Networks
Johan Olsson, Runyu Zhang, Emma Tegling, Na Li
American Control Conference (ACC), 2024 - Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis
Phevos Paschalidis, Runyu Zhang, Na Li
American Control Conference (ACC), 2024 - Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity
Runyu Zhang, Yuyang Zhang, Rohit Konda, Bryce Ferguson, Jason Marden, Na Li
Conference on Decision and Control (CDC), 2023 - Multi-agent Reinforcement Learning with Reward Delays
Yuyang Zhang, Runyu Zhang, Yuantao Gu, Na Li
Learning for Dynamics and Control Conference (L4DC), 2023 - On the Optimal Control of Network LQR with Spatially-exponential Decaying Structure
Runyu Zhang, Weiyu Li, Na Li
American Control Conference (ACC), 2023 (Preparing for Journal Submission) - On the Relationship of Optimal State Feedback and Disturbance Response Controllers
Runyu Zhang, Yang Zheng, Weiyu Li, Na Li
International Federation of Automatic Control (IFAC), 2023 - Policy Optimization for Markov Games: Unified Framework and Faster Convergence
Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai
Advances in Neural Information Processing Systems (NeurIPS), 2022 - On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games
Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li
Advances in Neural Information Processing Systems (NeurIPS), 2022 - Gradient Play in Stochastic Games: Stationary Points and Local Geometry
Runyu Zhang, Zhaolin Ren, Na Li
International Symposium on Mathematical Theory of Networks and Systems (MTNS), 2022 - On the Regret Analysis of Online LQR Control with Predictions
Runyu Zhang, Yingying Li, Na Li
American Control Conference (ACC), 2021 - Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling
Tyler Will, Runyu Zhang, Eli Sadovnik, Mengdi Gao, Joshua Vendrow, Jamie Haddock, Denali Molitor, Deanna Needell
International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019