Discovering Hierarchy in Reinforcement Learning

Name: Discovering Hierarchy in Reinforcement Learning
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 9783639059243
Price: 68.57 EUR
Availability: InStock

Automatic Modelling of Task-Hierarchies byMachines through Sense-Act Interactions with theirEnvironments

Автор: Bernhard Hengst

Език:

Корици: С меки корици

Издател: VDM Verlag Dr. Mueller E.K.

Наличност: Външен склад

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68.57 € 134.11 лв

We are relying more and more on machines to performtasks that were previously the sole domain ofhuma...

Информация за книгата

Автор

Bernhard Hengst

Език

Английски език

Корици

Книга - С меки корици

Издадена

2008

страници

200

EAN

9783639059243

ISBN

3639059247

Enbook ID

06815333

Издател

VDM Verlag Dr. Mueller E.K.

Теглоt

272

Размери

152 x 229 x 11

Пълно описание

We are relying more and more on machines to performtasks that were previously the sole domain ofhumans. There is a need to make machines more self-adaptable and for them to set their own sub-goals.Designing machines that can make sense of the worldthey inhabit is still an open research problem.Fortunately many complex environments exhibitstructure that can be modelled as an inter-relatedset of subsystems. Subsystems are often repetitivein time and space and reoccur many times ascomponents of different tasks. A machine may be ableto learn how to tackle larger problems if it cansuccessfully find and exploit this repetition.Evidence suggests that a bottom up approach, thatrecursively finds building-blocks at one level ofabstraction and uses them at the next level, makeslearning in many complex environments tractable.This book describes a machine learning algorithmcalled HEXQ that automatically discovershierarchical structure in its environment purelythrough sense-act interactions, setting its own sub-goals and solving decision problems usingreinforcement learning.

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Discovering Hierarchy in Reinforcement Learning

Automatic Modelling of Task-Hierarchies byMachines through Sense-Act Interactions with theirEnvironments

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Пълно описание

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