Kim, Jun-Gyu (2018). On experience-based learning for combinatorial optimization problems. [Thesis Abstract]

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Item Type: Thesis Abstract
Creators:
CreatorsEmailORCID
Kim, Jun-Gyukim@zpr.uni-koeln.deUNSPECIFIED
URN: urn:nbn:de:hbz:38-82246
Series Name at the University of Cologne: Informatik
Publisher: München: Hut
ISBN: 978-3-8439-3577-7
Subjects: Data processing Computer science
Mathematics
Uncontrolled Keywords:
KeywordsLanguage
Reinforcement LearningEnglish
Mont-Carlo MethodsEnglish
Monte-Carlo Tree SearchEnglish
Combinatorial Optimization ProblemsEnglish
General Game PlayingEnglish
Faculty: Faculty of Mathematics and Natural Sciences
Divisions: Faculty of Mathematics and Natural Sciences > Institute of Computer Science
Language: English
Date: 2018
Date of oral exam: 12 April 2018
Referee:
NameAcademic Title
Schrader, RainerProf. Dr.
Schaudt, OliverProf. Dr.
Full Text Status: None
Date Deposited: 20 Jun 2018 12:16
URI: http://kups.ub.uni-koeln.de/id/eprint/8224

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