{"product_id":"132150341_product","title":"Andrew G. Barto - Reinforcement Learning : An Introduction - Hardback","description":"New Store Stock\u003cbr\u003e\u003cstrong\u003eAbout this Item\u003c\/strong\u003e\u003cbr\u003e\u003cbr\u003eThe item is a book Hardback\u003cbr\u003eThe Author Name is Andrew G. Barto\u003cbr\u003eThe Title is Reinforcement Learning : An Introduction\u003cbr\u003e\u003cbr\u003eCondition New\u003cbr\u003e\u003cbr\u003eOther Comments\u003cbr\u003eNew Store Stock\u003cbr\u003eCategory - Computers\u003cbr\u003e\u003cbr\u003e\u003cbr\u003eProduct Description -\u003cbr\u003eThe significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.   Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms.\r\n\r\n This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics.   Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found.\r\n\r\n Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy.\r\n\r\n The final chapter discusses the future societal impacts of reinforcement learning.\u003cbr\u003e\u003cp\u003eWhen possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong.\u003c\/p\u003e\n\n\u003cp\u003eBooks are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.  The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling.\u003c\/p\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eGift Ideas\u003c\/strong\u003e\u003cbr\u003e\nThis is a great gift idea.\u003c\/p\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eHours of Service\u003c\/strong\u003e\u003cbr\u003e\nWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday.\u003c\/p\u003e\n\u003cbr\u003eLocation ID 245z\u003cbr\u003e\u003cbr\u003eiHaveit SKU ID 174251142\u003cbr\u003e\u003cbr\u003e","brand":"Adaptive Computation and Machine Learning series","offers":[{"title":"Default Title \/ White \/ unisex","offer_id":43972327735540,"sku":"174251142","price":85.09,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/ihaveitmarketplace.com\/products\/132150341_product","provider":"iHaveit","version":"1.0","type":"link"}