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

Multi-Agent Machine Learning - A Reinforcement Approach

Autor: H M Schwartz
Limbă: engleză
Legare: Copertă tare
Disponibilitate: În depozitul extern
Expediem în 9-15 zile
633.86 lei
Multi-Agent Machine Learning: A Reinforcement Learning Approach is a framework to understanding diff...

Informații despre carte

Autor
Limbă
engleză
Legare
Carte - Copertă tare
Publicat
2014
Pagini
256
EAN
9781118362082
ISBN
111836208X
Enbook ID
02695104
Greutate
478
Dimensiuni
238 x 163 x 18

Descriere completă

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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