Kniha Multi-Agent Machine Learning - A Reinforcement Approach H M Schwartz

Multi-Agent Machine Learning - A Reinforcement Approach

Autor: H M Schwartz
Jazyk: Angličtina
Väzba: Pevná
Vydavateľ: John Wiley & Sons Inc
Dostupnosť: Skladom u dodávateľa
Odosielame za 9-15 dní
109.52
Multi-Agent Machine Learning: A Reinforcement Learning Approach is a framework to understanding diff...

Informácie o knihe

Autor
Jazyk
Angličtina
Väzba
Kniha - Pevná
Vydalo
2014
Stránok
256
EAN
9781118362082
ISBN
111836208X
Enbook ID
02695104
Hmotnosť
478
Rozmery
238 x 163 x 18

Kompletný popis

Multi-Agent Machine Learning: A Reinforcement Learning Approach is a framework to understanding different methods and approaches in multi-agent machine learning. It also provides cohesive coverage of the latest advances in multi-agent differential games and presents applications in game theory and robotics.§Framework for understanding a variety of methods and approaches in multi-agent machine learning.§Discusses methods of reinforcement learning such as a number of forms of multi-agent Q-learning§Applicable to research professors and graduate students studying electrical and computer engineering, computer science, and mechanical and aerospace engineering

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