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ORCIDRunyu Zhang 0001
Person information
- affiliation: Harvard University, John A. Paulson School of Engineering and Applied Sciences, MA, USA
Other persons with the same name
- Runyu Zhang — disambiguation page
- Runyu Zhang 0002
![[0000-0003-3732-5098]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3732-5098")
— Guizhou University, State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guiyang, China (and 1 more)
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2020 – today
- 2024
[j2]Runyu Zhang, Zhaolin Ren, Na Li:
Gradient Play in Stochastic Games: Stationary Points, Convergence, and Sample Complexity. IEEE Trans. Autom. Control. 69(10): 6499-6514 (2024)- [c11]Johan Olsson, Runyu Cathy Zhang, Emma Tegling, Na Li:
Scalable Reinforcement Learning for Linear-Quadratic Control of Networks. ACC 2024: 1813-1818 - [c10]Phevos Paschalidis, Runyu Zhang, Na Li:
Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis. ACC 2024: 4044-4049 - [c9]Runyu Zhang, Yang Hu, Na Li:
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity. ICLR 2024 - [c8]Runyu Zhang, Haitong Ma, Na Li:
Multi-agent coverage control with transient behavior consideration. L4DC 2024: 1464-1476 - [i11]Phevos Paschalidis, Runyu Zhang, Na Li:
Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis. CoRR abs/2401.10383 (2024) - [i10]Johan Olsson, Runyu Zhang, Emma Tegling, Na Li:
Scalable Reinforcement Learning for Linear-Quadratic Control of Networks. CoRR abs/2401.16183 (2024) - [i9]Runyu Zhang, Jeff S. Shamma, Na Li:
Equilibrium Selection for Multi-agent Reinforcement Learning: A Unified Framework. CoRR abs/2406.08844 (2024) - [i8]Zhaolin Ren, Runyu Zhang, Bo Dai, Na Li:
Scalable spectral representations for network multiagent control. CoRR abs/2410.17221 (2024) - 2023
- [c7]Runyu Zhang, Weiyu Li, Na Li:
On the Optimal Control of Network LQR with Spatially-Exponential Decaying Structure. ACC 2023: 1775-1780 - [c6]Runyu Zhang, Yuyang Zhang, Rohit Konda, Bryce L. Ferguson, Jason R. Marden, Na Li:
Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity. CDC 2023: 8100-8107 - [c5]Yuyang Zhang, Runyu Zhang, Yuantao Gu, Na Li:
Multi-Agent Reinforcement Learning with Reward Delays. L4DC 2023: 692-704 - [i7]Runyu Zhang, Yuyang Zhang, Rohit Konda, Bryce L. Ferguson, Jason R. Marden, Na Li:
Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity. CoRR abs/2304.03840 (2023) - [i6]Runyu Zhang, Yang Hu, Na Li:
Regularized Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity. CoRR abs/2306.11626 (2023) - 2022
- [j1]Yingying Li, Yujie Tang, Runyu Zhang, Na Li:
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. IEEE Trans. Autom. Control. 67(12): 6429-6444 (2022) - [c4]Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai:
Policy Optimization for Markov Games: Unified Framework and Faster Convergence. NeurIPS 2022 - [c3]Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li:
On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games. NeurIPS 2022 - [i5]Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li:
On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems. CoRR abs/2202.00872 (2022) - [i4]Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai:
Policy Optimization for Markov Games: Unified Framework and Faster Convergence. CoRR abs/2206.02640 (2022) - [i3]Yuyang Zhang, Runyu Zhang, Gen Li, Yuantao Gu, Na Li:
Multi-Agent Reinforcement Learning with Reward Delays. CoRR abs/2212.01441 (2022) - 2021
- [c2]Runyu Zhang, Yingying Li, Na Li:
On the Regret Analysis of Online LQR Control with Predictions. ACC 2021: 697-703 - [i2]Runyu Zhang, Zhaolin Ren, Na Li:
Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence. CoRR abs/2106.00198 (2021) - 2020
- [c1]Yingying Li, Yujie Tang, Runyu Zhang, Na Li:
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. L4DC 2020: 814
2010 – 2019
- 2019
- [i1]Yingying Li, Yujie Tang, Runyu Zhang, Na Li:
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. CoRR abs/1912.09135 (2019)
Coauthor Index
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