Multi-agent machine learning : a reinforcement approach /

• Άλλοι συγγραφείς: Schwartz, Howard M. (Επιμελητής έκδοσης)
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Hoboken, NJ : John Wiley & Sons, [2014]
• Θέματα: Reinforcement learning.; Differential games.; Swarm intelligence.; Machine learning.; TECHNOLOGY & ENGINEERING / Electronics / General.; Electronic books.
• Φυσική περιγραφή: 1 online resource.
• Βιβλιογραφία: Includes bibliographical references and index.
• ISBN: 9781118884485 (ePub); 1118884485 (ePub); 9781118884478 (Adobe PDF); 1118884477 (Adobe PDF); 9781118884614; 1118884612; 9781322094762; 1322094764
• DOI: 10.1002/9781118884614

"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"--