422 citations · 673 across the 48 of their papers we have counts for
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eess.SY2019★ 17 cited
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
Yingying Li, Yujie Tang, Runyu Zhang +1
This paper considers a distributed reinforcement learning problem for decentralized linear quadratic control with partial state observations and local costs. We propose a Zero-Orde…
math.OC2019
Scalable Reinforcement Learning for Multi-Agent Networked Systems
Guannan Qu, Adam Wierman, Na Li
We study reinforcement learning (RL) in a setting with a network of agents whose states and actions interact in a local manner where the objective is to find localized policies suc…