Design of Experiments for Reinforcement Learning - Springer Theses - Christopher Gatti - Grāmatas - Springer International Publishing AG - 9783319121963 - 2014. gada 8. decembris
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Christopher Gatti
Design of Experiments for Reinforcement Learning - Springer Theses 2015 edition

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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. The author approaches these entities using design of experiments not commonly employed to study machine learning methods. The results outlined in this work provide insight as to what enables and what has an effect on successful reinforcement learning implementations so that this learning method can be applied to more challenging problems.

191 pages, 21 black & white illustrations, 25 colour illustrations, 31 black & white tables, biograp

Mediji Grāmatas     Hardcover Book   (Grāmata ar cieto muguriņu un vāku)
Izlaists 2014. gada 8. decembris
ISBN13 9783319121963
Izdevēji Springer International Publishing AG
Lapas 191
Izmēri 155 × 235 × 13 mm   ·   467 g
Valoda Angļu  

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