Multi-Agent Machine Learning
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- Synopsis
- 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
- Copyright:
- 2014
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9781118884485
- Related ISBNs:
- 9781118362082, 9781118884614
- Publisher:
- Wiley
- Date of Addition:
- 07/09/15
- Copyrighted By:
- Wiley
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Technology
- Submitted By:
- N/A
- Usage Restrictions:
- This is a copyrighted book.