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Book 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

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Multi-Agent Machine Learning - A Reinforcement Approach
• Author: H M Schwartz
• Language: English
• Binding: Hardback
• Number of pages: 256
• EAN: 9781118362082
• ISBN: 111836208X
• ID: 02695104
• Publisher: John Wiley & Sons Inc
• Weight: 478 g
• Dimensions: 163 × 238 × 18 mm
• Date of publishing: 26. September 2014

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