Achieving Logarithmic Regret via Hints in Online Learning of Noisy LQR Systems
Author:
Affiliation:
1. Queen’s University,Department of Mathematics and Statistics,Kingston,ON,Canada,K7L 3N6
2. University of California,Department of Electrical and Computer Engineering,Los Angeles,CA,USA
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9992315/9992317/09992636.pdf?arnumber=9992636
Reference38 articles.
1. Achieving Logarithmic Regret via Hints in Online Learning of Noisy LQR Systems
2. An industrial application of multivariable linear quadratic control to a cement mill circuit
3. Distributed Linear-Quadratic Control of Serially Chained Systems: Application to a Water Delivery Canal [Applications of Control]
4. Linear Quadratic Control for Quadrotors UAVs Dynamics and Formation Flight
5. Gain-scheduled Linear Quadratic Control of Wind Turbines Operating at High Wind Speed
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13
2. Achieving Logarithmic Regret via Hints in Online Learning of Noisy LQR Systems;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06
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