Data-Driven H-infinity Control with a Real-Time and Efficient Reinforcement Learning Algorithm: An Application to Autonomous Mobility-on-Demand Systems

16 September 2023

Papers citing "Data-Driven H-infinity Control with a Real-Time and Efficient Reinforcement Learning Algorithm: An Application to Autonomous Mobility-on-Demand Systems"

6 / 6 papers shown

Title
From self-tuning regulators to reinforcement learning and back again Nikolai Matni Alexandre Proutiere Anders Rantzer Stephen Tu 100 88 0 27 Jun 2019
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games Kai Zhang Zhuoran Yang Tamer Basar 85 127 0 31 May 2019
Model-Free Linear Quadratic Control via Reduction to Expert Prediction Yasin Abbasi-Yadkori N. Lazić Csaba Szepesvári OffRL 81 96 0 17 Apr 2018
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator Stephen Tu Benjamin Recht OffRL 69 131 0 22 Dec 2017
On the Sample Complexity of the Linear Quadratic Regulator Sarah Dean Horia Mania Nikolai Matni Benjamin Recht Stephen Tu 77 580 0 04 Oct 2017
Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective Rick Zhang Marco Pavone 82 386 0 16 Apr 2014