On the Regret Analysis of Online LQR Control with Predictions. - Runyu Zhang 001; Yingying Li; Na Li 002 (ACC, 2021)

Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence. - Runyu Zhang 001; Zhaolin Ren; Na Li 002 (CoRR, 2021)

Policy Optimization for Markov Games: Unified Framework and Faster Convergence. - Runyu Zhang 001; Qinghua Liu; Huan Wang 014; Caiming Xiong; Na Li 002; Yu Bai 017 (NeurIPS, 2022)

On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games. - Runyu Zhang 001; Jincheng Mei; Bo Dai 001; Dale Schuurmans; Na Li 002 (NeurIPS, 2022)

On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems. - Runyu Zhang 001; Jincheng Mei; Bo Dai 001; Dale Schuurmans; Na Li 002 (CoRR, 2022)

Multi-Agent Reinforcement Learning with Reward Delays. - Yuyang Zhang; Runyu Zhang 001; Gen Li 005; Yuantao Gu; Na Li 002 (CoRR, 2022)

Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. - Yingying Li; Yujie Tang 002; Runyu Zhang 001; Na Li 002 (IEEE Trans. Autom. Control., 2022)

On the Optimal Control of Network LQR with Spatially-Exponential Decaying Structure. - Runyu Zhang 001; Weiyu Li; Na Li 002 (ACC, 2023)

Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity. - Runyu Zhang 001; Yuyang Zhang; Rohit Konda; Bryce L. Ferguson; Jason R. Marden; Na Li 002 (CDC, 2023)

Multi-Agent Reinforcement Learning with Reward Delays. - Yuyang Zhang; Runyu Zhang 001; Yuantao Gu; Na Li 002 (L4DC, 2023)

Regularized Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity. - Runyu Zhang 001; Yang Hu; Na Li 002 (CoRR, 2023)

Scalable Reinforcement Learning for Linear-Quadratic Control of Networks. - Johan Olsson; Runyu Cathy Zhang 001; Emma Tegling; Na Li 002 (ACC, 2024)

Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis. - Phevos Paschalidis; Runyu Zhang 001; Na Li 002 (ACC, 2024)

Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity. - Runyu Zhang 001; Yang Hu; Na Li 002 (ICLR, 2024)

Multi-agent coverage control with transient behavior consideration. - Runyu Zhang 001; Haitong Ma; Na Li 002 (L4DC, 2024)

Equilibrium Selection for Multi-agent Reinforcement Learning: A Unified Framework. - Runyu Zhang 001; Jeff S. Shamma; Na Li 002 (CoRR, 2024)

Scalable spectral representations for network multiagent control. - Zhaolin Ren; Runyu Zhang 001; Bo Dai 001; Na Li 002 (CoRR, 2024)

Gradient Play in Stochastic Games: Stationary Points, Convergence, and Sample Complexity. - Runyu Zhang 001; Zhaolin Ren; Na Li 002 (IEEE Trans. Autom. Control., 2024)

Scalable spectral representations for multiagent reinforcement learning in network MDPs. - Zhaolin Ren; Runyu Zhang 001; Bo Dai 001; Na Li 002 (AISTATS, 2025)