Runyu Zhang - RankMe

29 papers A* 3A 1C 3Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive-Horizon Conflict-Based Search for Closed-Loop Multi-Agent Path Finding. CoRR Jiarui Li, Federico Pecora, Runyu Zhang, Gioele Zardini
2026	J	`jnl`	Optimism as Risk-Seeking in Multi-Agent Reinforcement Learning. IEEE Control. Syst. Lett. Runyu Zhang, Na Li, Asuman Ozdaglar, Jeff S. Shamma, Gioele Zardini
2025	J	`jnl`	FICO: Finite-Horizon Closed-Loop Factorization for Unified Multi-Agent Path Finding. CoRR Jiarui Li, Alessandro Zanardi, Federico Pecora, Runyu Zhang, Gioele Zardini
2025	J	`jnl`	Optimism as Risk-Seeking in Multi-Agent Reinforcement Learning. CoRR Runyu Zhang, Na Li, Asuman Ozdaglar, Jeff S. Shamma, Gioele Zardini
2025	A	`conf`	Scalable spectral representations for multiagent reinforcement learning in network MDPs. AISTATS Zhaolin Ren, Runyu Zhang, Bo Dai, Na Li
2025	J	`jnl`	Zeroth-Order Constrained Optimization from a Control Perspective via Feedback Linearization. CoRR Runyu Zhang, Gioele Zardini, Asuman Ozdaglar, Jeff S. Shamma, Na Li
2024	C	`conf`	Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis. ACC Phevos Paschalidis, Runyu Zhang, Na Li
2024	J	`jnl`	Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis. CoRR Phevos Paschalidis, Runyu Zhang, Na Li
2024	J	`jnl`	Equilibrium Selection for Multi-agent Reinforcement Learning: A Unified Framework. CoRR Runyu Zhang, Jeff S. Shamma, Na Li
2024	J	`jnl`	Gradient Play in Stochastic Games: Stationary Points, Convergence, and Sample Complexity. IEEE Trans. Autom. Control. Runyu Zhang, Zhaolin Ren, Na Li
2024	—	`conf`	Multi-agent coverage control with transient behavior consideration. L4DC Runyu Zhang, Haitong Ma, Na Li
2024	J	`jnl`	Scalable Reinforcement Learning for Linear-Quadratic Control of Networks. CoRR Johan Olsson, Runyu Zhang, Emma Tegling, Na Li
2024	J	`jnl`	Scalable spectral representations for network multiagent control. CoRR Zhaolin Ren, Runyu Zhang, Bo Dai, Na Li
2024	A*	`conf`	Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity. ICLR Runyu Zhang, Yang Hu, Na Li
2023	—	`conf`	Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity. CDC Runyu Zhang, Yuyang Zhang, Rohit Konda, Bryce L. Ferguson, Jason R. Marden, Na Li
2023	J	`jnl`	Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity. CoRR Runyu Zhang, Yuyang Zhang, Rohit Konda, Bryce L. Ferguson, Jason R. Marden, Na Li
2023	—	`conf`	Multi-Agent Reinforcement Learning with Reward Delays. L4DC Yuyang Zhang, Runyu Zhang, Yuantao Gu, Na Li
2023	C	`conf`	On the Optimal Control of Network LQR with Spatially-Exponential Decaying Structure. ACC Runyu Zhang, Weiyu Li, Na Li
2023	J	`jnl`	Regularized Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity. CoRR Runyu Zhang, Yang Hu, Na Li
2022	J	`jnl`	Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. IEEE Trans. Autom. Control. Yingying Li, Yujie Tang, Runyu Zhang, Na Li
2022	J	`jnl`	Multi-Agent Reinforcement Learning with Reward Delays. CoRR Yuyang Zhang, Runyu Zhang, Gen Li, Yuantao Gu, Na Li
2022	J	`jnl`	On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems. CoRR Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li
2022	A*	`conf`	On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games. NeurIPS Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li
2022	A*	`conf`	Policy Optimization for Markov Games: Unified Framework and Faster Convergence. NeurIPS Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai
2022	J	`jnl`	Policy Optimization for Markov Games: Unified Framework and Faster Convergence. CoRR Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai
2021	J	`jnl`	Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence. CoRR Runyu Zhang, Zhaolin Ren, Na Li
2021	C	`conf`	On the Regret Analysis of Online LQR Control with Predictions. ACC Runyu Zhang, Yingying Li, Na Li
2020	—	`conf`	Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. L4DC Yingying Li, Yujie Tang, Runyu Zhang, Na Li
2019	J	`jnl`	Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. CoRR Yingying Li, Yujie Tang, Runyu Zhang, Na Li