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

Multi-Agent Machine Learning - A Reinforcement Approach

Autor: H M Schwartz
Język: Angielski
Oprawa: Twarda
Dostępność: Dostępna u dostawcy
Wysyłamy za 9-15 dni
487.85
Multi-Agent Machine Learning: A Reinforcement Learning Approach is a framework to understanding diff...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2014
strony
256
EAN
9781118362082
ISBN
111836208X
Enbook ID
02695104
Waga
478
Wymiary
238 x 163 x 18

Pełny opis

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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