Efficient and Real-Time Reinforcement Learning for Linear Quadratic Systems with Application to H-Infinity Control
Author:
Affiliation:
1. University of Minnesota,Department of Electrical and Computer Engineering and Department of Civil, Environmental, and Geo-Engineering,MN,USA
Funder
University of Minnesota
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10383192/10383193/10383955.pdf?arnumber=10383955
Reference19 articles.
1. Reinforcement Learning: An Introduction
2. Model-free linear quadratic control via reduction to expert prediction;Abbasi-Yadkori,2019
3. On the Sample Complexity of the Linear Quadratic Regulator
4. Least-squares temporal difference learning for the linear quadratic regulator;Tu,2018
5. From self-tuning regulators to reinforcement learning and back again
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