Marco Wiering – författare
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5 produkter
Artificial Intelligence
29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, November 8–9, 2017, Revised Selected Papers
Av Bart Verheij, Marco Wiering
Häftad, 2018
569 kr
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This book contains a selection of the best papers of the 29th Benelux Conference on Artificial Intelligence, BNAIC 2017, held in Groningen, The Netherlands, in November 2017. The 11 full papers presented in this volume were carefully reviewed and selected from 30 submissions. They address various …
Artificial Intelligence
29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, November 8–9, 2017, Revised Selected Papers
Av Marco Wiering, Bart Verheij
E-bok, 2018
739 kr
Lägg i varukorg
This book contains a selection of the best papers of the 29th Benelux Conference on Artificial Intelligence, BNAIC 2017, held in Groningen, The Netherlands, in November 2017. The 11 full papers presented in this volume were carefully reviewed and selected from 30 submissions. They address various …
Reinforcement Learning
State-of-the-Art
Av Marco Wiering, Martijn van Otterlo
Inbunden, 2012
4500 kr
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Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement …
Reinforcement Learning
State-of-the-Art
Av Martijn van Otterlo, Marco Wiering
E-bok, 2012
5882 kr
Lägg i varukorg
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement …
Reinforcement Learning
State-of-the-Art
Av Marco Wiering, Martijn van Otterlo
Häftad, 2014
4500 kr
Lägg i varukorg
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement …