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Design of Experiments for Reinforcement Learning - Springer Theses Softcover reprint of the original 1st ed. 2015 edition
Christopher Gatti
Design of Experiments for Reinforcement Learning - Springer Theses Softcover reprint of the original 1st ed. 2015 edition
Christopher Gatti
This thesis takes an empirical approach to understanding of the behavior and interactions between the two main components of reinforcement learning: the learning algorithm and the functional representation of learned knowledge.
204 pages, 21 black & white illustrations, 25 colour illustrations, 31 black & white tables, biograp
Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
Validé | 22 septembre 2016 |
ISBN13 | 9783319385518 |
Éditeurs | Springer International Publishing AG |
Pages | 191 |
Dimensions | 155 × 235 × 11 mm · 299 g |
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