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Books Books 1 - 10 of about 215 citing Reinforcement Learning: An Introduction. 

Introduction to Stochastic Search and Optimization: Estimation, Simulation ...

James C. Spall - Mathematics - 2005 - 618 pages
A unique interdisciplinary foundation for real-world problem solving Stochastic search and optimization techniques are used in a vast number of areas, including aerospace ...
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Computational Explorations in Cognitive Neuroscience: Understanding the Mind ...

Randall C. O'Reilly, Yuko Munakata - Computers - 2000 - 504 pages
This text, based on a course taught by Randall O'Reilly and Yuko Munakata over thepast several years, provides an in-depth introduction to the main ideas in the ...
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Computational Intelligence: The Experts Speak

David B. Fogel, Charles J. Robinson - Computers - 2003 - 282 pages
Consisting of expanded papers generated by the plenary and invited lecturers from the WCCI, plus transitions and introductory chapters, this new volume addresses the ...
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Simulation-Based Optimization: Parametric Optimization Techniques and ...

Abhijit Gosavi - Business & Economics - 2003 - 554 pages
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduces the evolving area of simulation-based optimization. Since it became ...
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Advanced Fuzzy Systems Design and Applications

Yaochu Jin - Computers - 2003 - 271 pages
Fuzzy rule systems have found a wide range of applications in many fields of science and technology. Traditionally, fuzzy rules are generated from human expert knowledge or ...
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Anticipatory Learning Classifier Systems

Martin V. Butz - Computers - 2002 - 172 pages
Anticipatory Learning Classifier Systems describes the state of the art of anticipatory learning classifier systems-adaptive rule learning systems that autonomously build ...
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