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De Mythe van de Man-Maand : over de kunst van het opzetten en uitvoeren van automatiseringsprojecten
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ISBN: 9067890782 Year: 1987 Publisher: Amsterdam : Addison-Wesley,

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Software voor bibliotheekautomatisering: een vergelijking
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ISBN: 907203709X Year: 1994 Publisher: 's-Gravenhage Vogin

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Computers : moderne slaven in een nieuwe tijd
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ISBN: 9014020309 Year: 1972 Publisher: Alphen aan den Rijn Samsom


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Informatie-analyse volgens NIAM in theorie en praktijk.
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ISBN: 9062331696 Year: 1985 Publisher: Den Haag : Academic service,

Encyclopedia of computer science.
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ISBN: 0333778790 Year: 2000 Publisher: London Nature Publ. Group


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Computer magazine.
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ISSN: 07786530 Year: 1990 Publisher: Vilvoorde Brussel VNU business publications. APT Data Services.

Reinforcement learning : an introduction
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ISBN: 0262193981 9780262193986 9780262257053 026225705X 1282096788 9786612096785 0585024456 0262303841 Year: 1998 Publisher: Cambridge MIT press

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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 when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

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