Reinforcement Learning from Scarce Experience via Policy Search : Learning to Act by Reasoning about Trial and Error in Uncertain Environment

Language: English

Published by VDM Verlag Dr. Müller, 2008

3639088034 / 9783639088038

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Today we live in the world which is very much aman-made or artificial. In such a world there aremany systems and environments, both real andvirtual, which can be very well described by formalmodels. This creates an opportunity for developing a'synthetic intelligence' - artificial systemswhich cohabit these environments with human beings and carry out some useful function. In this book we address some aspects of thisdevelopment in the framework of reinforcementlearning, learning how to map sensations to actions,by trial and error from feedback. In some challengingcases, actions may affect not only the immediatereward, but also the next sensationand all subsequent rewards. The general task ofreinforcement learning stated in a traditional way isunreasonably ambitious for these two characteristics:search by trial-and-error and delayed reward. Weinvestigate general ways of breaking the task ofdesigning a controller down to more feasiblesub-tasks which are solved independently. We proposeto consider both taking advantage of past experienceby reusing parts of other systems, and facilitatingthe learning phase by employing a bias in initialconfiguration.…

Seller Inventory # 9783639088038

Title
Reinforcement Learning from Scarce Experience via Policy Search : Learning to Act by Reasoning about Trial and Error in Uncertain Environment
Author
Leonid Peshkin
Publisher
VDM Verlag Dr. Müller
Publication year
2008
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3639088034
ISBN 13
9783639088038
Item weight
225 grams
Dimensions
220x176x33 mm

AHA-BUCH GmbH

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