{"product_id":"multi-agent-machine-learning-h-m-schwartz-9781118362082","title":"Multi-Agent Machine Learning: A Reinforcement Approach","description":"\u003cp\u003eThe book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility traces. Chapter 3 discusses two player games including two player matrix games with both pure and mixed strategies. Numerous algorithms and examples are presented. Chapter 4 covers learning in multi-player games, stochastic games, and Markov games, focusing on learning multi-player grid games--two player grid games, Q-learning, and Nash Q-learning. Chapter 5 discusses differential games, including multi player differential games, actor critique structure, adaptive fuzzy control and fuzzy interference systems, the evader pursuit game, and the defending a territory games. Chapter 6 discusses new ideas on learning within robotic swarms and the innovative idea of the evolution of personality traits.\u003cbr\u003e \u003cbr\u003e - Framework for understanding a variety of methods and approaches in multi-agent machine learning.\u003cbr\u003e \u003cbr\u003e - Discusses methods of reinforcement learning such as a number of forms of multi-agent Q-learning\u003cbr\u003e \u003cbr\u003e - Applicable to research professors and graduate students studying electrical and computer engineering, computer science, and mechanical and aerospace engineering\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e H. M. Schwartz\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 111836208X\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781118362082\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 08\/11\/2014\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 256\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.05lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.30h x 6.10w x 0.70d","brand":"H. M. Schwartz","offers":[{"title":"Hardcover","offer_id":43980863045887,"sku":"9781118362082","price":123.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_f9a9fbd5-156f-4e9e-a85f-368c18d69230.jpg?v=1683252322","url":"https:\/\/www.whiterainbookhouse.com\/products\/multi-agent-machine-learning-h-m-schwartz-9781118362082","provider":"WR Book House","version":"1.0","type":"link"}