Multi-Agent Machine Learning: A Reinforcement Approach 1st Edition

Book Name: Multi-Agent Machine Learning: A Reinforcement Approach 1st Edition
Author: H. M. Schwartz
Publisher: Wiley
ISBN-: 111836208X
Year: 2014
Pages: 256
Language: English
File size: 13.03 MB
File format: PDF

Multi-Agent Machine Learning: A Reinforcement Approach 1st Edition Pdf Book Description:

Multi-Agent Machine Learning: A Reinforcement Learning Approach is a frame to understanding different approaches and approaches in multi-agent machine learning. Additionally, it supplies cohesive coverage of the most recent improvements in multi-agent differential games and gifts programs in game theory and robotics.

• Framework for comprehending an assortment of approaches and methods in multi-agent machine learning. • Discusses methods of reinforcement learning like a range of kinds of multi-agent Q-learning • Applicable to study academics and grad students studying computer and electrical engineering, computer engineering, and mechanical and aerospace engineering.