Multi-Agent Machine Learning
H. M. Schwartz · 2014
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About the book
"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"--
Book details
- Year
- 2014
- Language
- English
- Publisher
- Wiley
- Editions
- 7
- Pages
- 256
- ISBN
- 9781118362082
Data source: Wikidata