Kim, Jun-Gyu (2018). On experience-based learning for combinatorial optimization problems. Thesis Abstract, Universität zu Köln.
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| Item Type: | Thesis Abstract |
| Creators: | Creators Email ORCID ORCID Put Code Kim, Jun-Gyu kim@zpr.uni-koeln.de UNSPECIFIED UNSPECIFIED |
| URN: | urn:nbn:de:hbz:38-82246 |
| Series Name: | Informatik |
| Date: | 2018 |
| Publisher: | München: Hut |
| ISBN: | 978-3-8439-3577-7 |
| Language: | English |
| Faculty: | Faculty of Mathematics and Natural Sciences |
| Divisions: | Faculty of Mathematics and Natural Sciences > Department of Mathematics and Computer Science > Institute of Computer Science |
| Subjects: | Data processing Computer science Mathematics |
| Uncontrolled Keywords: | Keywords Language Reinforcement Learning English Mont-Carlo Methods English Monte-Carlo Tree Search English Combinatorial Optimization Problems English General Game Playing English |
| Date of oral exam: | 12 April 2018 |
| Referee: | Name Academic Title Schrader, Rainer Prof. Dr. Schaudt, Oliver Prof. Dr. |
| Refereed: | Yes |
| URI: | http://kups.ub.uni-koeln.de/id/eprint/8224 |
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