Runyu Zhang, Yang Hu, and Na Li. Submitted. “Regularized Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity .” In . Publisher's Version

Runyu Zhang, Zhaolin Ren, and Na Li. Submitted. “Gradient play in stochastic games: stationary points, convergence, and sample complexity.” In . Arxiv

Runyu Zhang, Yuyang Zhang, Rohit Konda, Bryce Furguson, Jason Marden, and Na Li. 2023. “Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity.” In Conference on Decision and Control (CDC). Publisher's Version

Yuyang Zhang, Runyu Zhang, Gen Li, Yuantao Gu, and Na Li. 2023. “Multi-Agent Reinforcement Learning with Reward Delays.” In Learning for Dynamics and Control Conference (L4DC). Arxiv

Runyu Zhang, Weiyu Li, and Na Li. 2023. “On the Optimal Control of Network LQR with Spatially-Exponential Decaying Structure.” In American Control Conference (ACC). Arxiv

Runyu Zhang, Yang Zheng, Weiyu Li, and Na Li. 2023. “On the Relationship of Optimal State Feedback and Disturbance Response Controllers.” In International Federation of Automatic Control (IFAC). PDF

Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, and Na Li. 2022. “On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games.” In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022). Arxiv

Runyu Zhang, Zhaolin Ren, and Na Li. 2022. “Gradient Play in Stochastic Games: Stationary Points and Local Geometry.” In 25th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2022). Supplementary materials

Runyu Zhang*, Qinghua Liu*, Huan Wang, Caiming Xiong, Na. Li, and Yu Bai. 2022. “Policy Optimization for Markov Games: Unified Framework and Faster Convergence.” In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022). Arxiv

Yingying Li, Yujie Tang, Runyu Zhang, and Na Li. 2021. “Distributed reinforcement learning for decentralized linear quadratic control: A derivative-free policy optimization approach.” IEEE Transactions on Automatic Control. Arxiv

Runyu Zhang, Yingying Li, and Na Li. 2021. “On the Regret Analysis of Online LQR Control with Predictions.” In 2021 American Control Conference. Arxiv

Mengdi Gao, Jamie Haddock, Denali Molitor, Deanna Needell, Eli Sadovnik, Tyler Will, and Runyu Zhang. 2019. “Neural nonnegative matrix factorization for hierarchical multilayer topic modeling.” In 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). Publisher's Version