17 citations · 33 across the 26 of their papers we have counts for
Showing eess.SYShow all
2 papers · 1 filter
eess.SY2024
Scalable Reinforcement Learning for Linear-Quadratic Control of Networks
Johan Olsson, Runyu Zhang, Emma Tegling +1
Distributed optimal control is known to be challenging and can become intractable even for linear-quadratic regulator problems. In this work, we study a special class of such probl…
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…