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Co-evolutionary and Reinforcement Learning Techniques in Computer Go: Some Techniques of Machine Learning Applied to Computer Go - Brossura

 
9783659638596: Co-evolutionary and Reinforcement Learning Techniques in Computer Go: Some Techniques of Machine Learning Applied to Computer Go

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This work models certain processes of nature such as biological evolution and co-evolution as learning processes, and it proposes some techniques that can ensure that these learning processes really occur and can be used to solve certain complex problems such as the game of Go. Go is an ancient and very complex game with simple rules, a game which still presents a challenge for Artificial Intelligence. This work covers certain approaches that can be applied in order to solve this problem, and which are useful for solving other problems, with a proposal to use competitive and cooperative co-evolutionary learning methods and other techniques as suggested by the author.

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The author has a PhD in Computer Science from the UPM in Spain. He won first place in a Competition of Algorithmic Trading with autonomous systems using Machine Learning sponsored by the Madrid Stock Exchange. MSc in Software Engineering in Oxford University. IT Consultant and IT project manager for many years. Creator and Founder of ssyspe.org.

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Wester Zela Moraya
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zela Moraya WesterThe author has a PhD in Computer Science from the UPM in Spain. He won first place in a Competition of Algorithmic Trading with autonomous systems using Machine Learning sponsored by the Madrid Stock Exchange. MSc i. Codice articolo 5170242

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Wester Zela Moraya
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work models certain processes of nature such as biological evolution and co-evolution as learning processes, and it proposes some techniques that can ensure that these learning processes really occur and can be used to solve certain complex problems such as the game of Go. Go is an ancient and very complex game with simple rules, a game which still presents a challenge for Artificial Intelligence. This work covers certain approaches that can be applied in order to solve this problem, and which are useful for solving other problems, with a proposal to use competitive and cooperative co-evolutionary learning methods and other techniques as suggested by the author. 276 pp. Englisch. Codice articolo 9783659638596

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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work models certain processes of nature such as biological evolution and co-evolution as learning processes, and it proposes some techniques that can ensure that these learning processes really occur and can be used to solve certain complex problems such as the game of Go. Go is an ancient and very complex game with simple rules, a game which still presents a challenge for Artificial Intelligence. This work covers certain approaches that can be applied in order to solve this problem, and which are useful for solving other problems, with a proposal to use competitive and cooperative co-evolutionary learning methods and other techniques as suggested by the author. Codice articolo 9783659638596

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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work models certain processes of nature such as biological evolution and co-evolution as learning processes, and it proposes some techniques that can ensure that these learning processes really occur and can be used to solve certain complex problems such as the game of Go. Go is an ancient and very complex game with simple rules, a game which still presents a challenge for Artificial Intelligence. This work covers certain approaches that can be applied in order to solve this problem, and which are useful for solving other problems, with a proposal to use competitive and cooperative co-evolutionary learning methods and other techniques as suggested by the author.Books on Demand GmbH, Überseering 33, 22297 Hamburg 276 pp. Englisch. Codice articolo 9783659638596

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