Mini-Workshop: Analysis of Data-driven Optimal Control (hybrid meeting)
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Date
2021
Authors
Volume
23
Issue
Journal
Series Titel
Oberwolfach reports : OWR
Book Title
Publisher
Zürich : EMS Publ. House
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Abstract
This hybrid mini-workshop discussed recent mathematical methods for analyzing the opportunities and limitations of data-driven and machine-learning approaches to optimal feedback control. The analysis concerned all aspects of such approaches, ranging from approximation theory particularly for high-dimensional problems via complexity analysis of algorithms to robustness issues.
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Citation
Mini-Workshop: Analysis of Data-driven Optimal Control (hybrid meeting) (Zürich : EMS Publ. House). (2021). https://doi.org//10.14760/OWR-2021-23
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This document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties.
This document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties.