Runyu Zhang

According to our database, Runyu Zhang authored at least 19 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Gradient Play in Stochastic Games: Stationary Points, Convergence, and Sample Complexity.

Runyu Zhang, Zhaolin Ren, Na Li

IEEE Trans. Autom. Control., October, 2024

Scalable spectral representations for network multiagent control.

Zhaolin Ren, Runyu Zhang, Bo Dai, Na Li

CoRR, 2024

Equilibrium Selection for Multi-agent Reinforcement Learning: A Unified Framework.

Runyu Zhang, Jeff S. Shamma, Na Li

CoRR, 2024

Multi-agent coverage control with transient behavior consideration.

Runyu Zhang, Haitong Ma, Na Li

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity.

Runyu Zhang, Yang Hu, Na Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis.

Phevos Paschalidis, Runyu Zhang, Na Li

Proceedings of the American Control Conference, 2024

Scalable Reinforcement Learning for Linear-Quadratic Control of Networks.

Johan Olsson, Runyu Cathy Zhang, Emma Tegling, Na Li

Proceedings of the American Control Conference, 2024

2023

Regularized Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity.

Runyu Zhang, Yang Hu, Na Li

CoRR, 2023

Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity.

Runyu Zhang, Yuyang Zhang, Rohit Konda, Bryce L. Ferguson, Jason R. Marden, Na Li

CoRR, 2023

Multi-Agent Reinforcement Learning with Reward Delays.

Yuyang Zhang, Runyu Zhang, Yuantao Gu, Na Li

Proceedings of the Learning for Dynamics and Control Conference, 2023

Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity.

Runyu Zhang, Yuyang Zhang, Rohit Konda, Bryce R. Ferguson, Jason R. Marden, Na Li

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

On the Optimal Control of Network LQR with Spatially-Exponential Decaying Structure.

Runyu Zhang, Weiyu Li, Na Li

Proceedings of the American Control Conference, 2023

2022

Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach.

Yingying Li, Yujie Tang, Runyu Zhang, Na Li

IEEE Trans. Autom. Control., 2022

Multi-Agent Reinforcement Learning with Reward Delays.

Yuyang Zhang, Runyu Zhang, Gen Li, Yuantao Gu, Na Li

CoRR, 2022

On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems.

Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Policy Optimization for Markov Games: Unified Framework and Faster Convergence.

Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence.

Runyu Zhang, Zhaolin Ren, Na Li

CoRR, 2021

On the Regret Analysis of Online LQR Control with Predictions.

Runyu Zhang, Yingying Li, Na Li

Proceedings of the 2021 American Control Conference, 2021