{"product_id":"9781394378807","title":"Fuzzy Reinforcement Learning","description":"\u003ch1\u003eFuzzy Reinforcement Learning\u003c\/h1\u003e\u003ch3\u003eHamid Berenji\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Logic Design\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eIntegrate fuzzy logic and reinforcement learning to achieve intelligent control systems\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eDesigning adaptive control systems that handle uncertainty requires methods beyond traditional approaches. \u003ci\u003eFuzzy Reinforcement Learning\u003c\/i\u003e explores the integration of fuzzy logic with reinforcement learning. This comprehensive treatment covers theoretical foundations through practical applications for researchers building next-generation intelligent systems. \u003c\/p\u003e\n\u003cp\u003eThe book progresses from fuzzy logic fundamentals through advanced topics including approximate reasoning for space operations and docking. Coverage includes evidential reasoning frameworks, detailed comparison of possibility theory versus probability theory, and complete reinforcement learning methodology. Innovative concepts include Fuzzy Q-Learning and a convergent actor-critic-based algorithm demonstrated through power management applications in wireless transmitters. \u003c\/p\u003e\n\u003cp\u003eReaders will also find: \u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eFor the first time in the world, the convergence proof of FRL based on Q-Learning proposed by Hamid Berenji and David Vengerov\u003c\/li\u003e \u003cli\u003eTechnologies for updating knowledge bases using reinforcement learning approaches that adapt to dynamic operational environments\u003c\/li\u003e \u003cli\u003eComprehensive comparison of possibility theory with probability theory for handling uncertainty in intelligent control system design\u003c\/li\u003e \u003cli\u003eCoverage of fuzzy IF-THEN rule-based systems with continuous membership functions for knowledge representation in AI applications\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eResearchers and professionals in fuzzy control and reinforcement learning will find authoritative coverage of this emerging intersection. Graduate and senior undergraduate students will gain foundational understanding through progressive topic development. This reference equips readers to design adaptive intelligent systems that operate effectively under uncertainty.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eHamid Berenji, PhD\u003c\/b\u003e, is Chief Research Scientist at Intelligent Inference Systems Corporation and Vice-Chair of the IEEE SCV Chapter on Computational Intelligence. An IEEE Fellow since 2002, he received NASA's Certificate of Recognition for developing Generalized Approximate Reasoning Based Intelligent Control (GARIC) and won the 1999 NASA Space Act Award. His previous work at NASA Ames Research Center's AI Research Branch established foundational contributions to intelligent control systems.  \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e02 February 2027\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-IEEE Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781394378807\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e80\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":46265438371980,"sku":"9781394378807","price":121.5,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781394378807.jpg?v=1781091669","url":"https:\/\/lateknightbooks.com\/products\/9781394378807","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}