{"product_id":"multi-agent-machine-learning-john-wiley-sons-inc-9781118362082-a-reinforcement-approach-h-m-schwartz","title":"Multi-Agent Machine Learning","description":"\u003cp\u003eDiscover the fascinating world of artificial intelligence with \u003cstrong\u003eMulti-Agent Machine Learning\u003c\/strong\u003e by H. M. Schwartz. Published by John Wiley \u0026amp; Sons Inc in 2014, this hardback edition spans 256 pages and provides a comprehensive overview of advanced learning techniques. \u003c\/p\u003e \n\n\u003cp\u003eThe book kicks off with an insightful chapter on traditional supervised learning methods, delving into recursive least squares learning, mean square error methods, and stochastic approximation. In the following chapter, Schwartz explores single agent reinforcement learning, covering essential topics such as learning value functions, Markov games, and TD learning with eligibility traces. \u003c\/p\u003e \n\n\u003cp\u003eWhether you're a student, researcher, or professional in the field of machine learning, this book serves as an invaluable resource to deepen your understanding of multi-agent systems. Enhance your knowledge and skills in this rapidly evolving domain with \u003cstrong\u003eMulti-Agent Machine Learning\u003c\/strong\u003e.\u003c\/p\u003e","brand":"H. M. Schwartz","offers":[{"title":"Default Title","offer_id":52235006050646,"sku":"9781118362082","price":116.34,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0886\/3206\/6390\/files\/9781118362082.jpg?v=1767754655","url":"https:\/\/www.laufgard.com\/products\/multi-agent-machine-learning-john-wiley-sons-inc-9781118362082-a-reinforcement-approach-h-m-schwartz","provider":"Bookshop","version":"1.0","type":"link"}