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Transfer in Reinforcement Learning Domains - Studies in Computational Intelligence Softcover reprint of hardcover 1st ed. 2009 edition
Matthew Taylor
Transfer in Reinforcement Learning Domains - Studies in Computational Intelligence Softcover reprint of hardcover 1st ed. 2009 edition
Matthew Taylor
In reinforcement learning (RL) problems, learning agents sequentially execute actions with the goal of maximizing a reward signal. This book provides an introduction to the RL transfer problem and discusses methods which demonstrate the promise of this exciting area of research.
242 pages, 54 black & white tables, biography
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | October 28, 2010 |
ISBN13 | 9783642101861 |
Publishers | Springer-Verlag Berlin and Heidelberg Gm |
Pages | 230 |
Dimensions | 155 × 235 × 13 mm · 344 g |
Language | English |
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