Title:
Multi-agent machine learning : a reinforcement approach
Personal Author:
Physical Description:
xi, 242 pages : ill. ; 24 cm.
ISBN:
9781118362082
Abstract:
"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"-- Provided by publisher.
"Provide an in-depth coverage of multi-player, differential games and Gam theory"-- Provided by publisher.
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
---|---|---|---|---|---|
Searching... | 30000010341692 | Q325.6 S34 2014 | Open Access Book | Book | Searching... |