TY  - BOOK
AU  - Schwartz,Howard M.
TI  - Multi-agent machine learning: a reinforcement approach 
SN  - 9781118362082 (hardback)
U1  - 004.85 
PY  - 2014///
CY  - New Jersey
PB  - Wiley
KW  - Reinforcement learning
KW  - Differential games
KW  - Swarm intelligence
KW  - Machine learning
KW  - TECHNOLOGY & ENGINEERING / Electronics / General
N2  - "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"--; "Provide an in-depth coverage of multi-player, differential games and Gam theory"--
UR  - http://catalogimages.wiley.com/images/db/jimages/9781118362082.jpg
ER  -