Reinforcement learning in supervised problem domains:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
München
2016
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| Schlagworte: | |
| Online-Zugang: | Volltext https://nbn-resolving.org/urn:nbn:de:bvb:91-diss-20160204-1174677-1-5 |
| Beschreibung: | ix, 159 Seiten Diagramme |
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| spelling | Rückstieß, Thomas Frank Verfasser aut Reinforcement learning in supervised problem domains Thomas F. Rückstieß München 2016 ix, 159 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Dissertation Technische Universität München 2015 Mit einer Zusammenfassung in deutscher Sprache (DE-588)4113937-9 Hochschulschrift gnd-content Erscheint auch als Online-Ausgabe urn:nbn:de:bvb:91-diss-20160204-1174677-1-5 http://mediatum.ub.tum.de/node?id=1174677 Verlag kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:bvb:91-diss-20160204-1174677-1-5 Resolving-System |
| spellingShingle | Rückstieß, Thomas Frank Reinforcement learning in supervised problem domains |
| subject_GND | (DE-588)4113937-9 |
| title | Reinforcement learning in supervised problem domains |
| title_auth | Reinforcement learning in supervised problem domains |
| title_exact_search | Reinforcement learning in supervised problem domains |
| title_full | Reinforcement learning in supervised problem domains Thomas F. Rückstieß |
| title_fullStr | Reinforcement learning in supervised problem domains Thomas F. Rückstieß |
| title_full_unstemmed | Reinforcement learning in supervised problem domains Thomas F. Rückstieß |
| title_short | Reinforcement learning in supervised problem domains |
| title_sort | reinforcement learning in supervised problem domains |
| topic_facet | Hochschulschrift |
| url | http://mediatum.ub.tum.de/node?id=1174677 https://nbn-resolving.org/urn:nbn:de:bvb:91-diss-20160204-1174677-1-5 |
| work_keys_str_mv | AT ruckstießthomasfrank reinforcementlearninginsupervisedproblemdomains |