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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
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 |
See all of Christopher Gatti ( e.g. Hardcover Book and Paperback Book )