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Design of Experiments for Reinforcement Learning - Springer Theses Christopher Gatti Softcover reprint of the original 1st ed. 2015 edition
Design of Experiments for Reinforcement Learning - Springer Theses
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
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | September 22, 2016 |
| ISBN13 | 9783319385518 |
| Publishers | Springer International Publishing AG |
| Pages | 191 |
| Dimensions | 155 × 235 × 11 mm · 299 g |
| Language | German |