Künstliche Intelligenz
3/09




KI Konferenz



KI Fachbereich

Böttcher IT Verlag

Heft 3/09

Schwerpunkt: Reinforcement Learning

Editorial

Editorial 3-2009
Ute Schmid

1

Inhaltsverzeichnis

Inhaltsverzeichnis 3-2009

2-3

Gasteditorial

Gasteditorial Reinforcement Learning
Christian Igel

4

KI Jahrestagung

KI 2009
Bärbel Mertsching

45-57

Fachbeitrag

Efficient Identification of State in Reinforcement Learning
Stephan Timmer, Martin Riedmiller

5-11

Biological Models of Reinforcement Learning
Julien Vitay, Jeremy Fix, Fred H. Hamker, Schroll Henning, Frederik Beuth

12-18

Dateneffizientes Reinforcement-Learning
Volkmar Sterzing, Steffen Udluft

19-22

Probabilistic inference as a model of planned behavior
Marc Toussaint

23-29

Ontogenetic and Phylogenetic Reinforcement Learning
Tom Schaul, Daan Wierstra, Faustino Gomez, Jürgen Schmidhuber, Christian Igel, Julian Togelius

30-33

Projektbericht

Learning to Play the BRIO Labyrinth Game
Jan Hendrik Metzen, Elsa Kirchner, Larbi Abdenebaoui, Frank Kirchner

34-37

Policy Search for Motor Primitives
Jens Kober, Jan Peters

38-40

Interview

Interview with Richard S. Sutton
Verena Heidrich-Meisner

41-43

Dissertation

Context-sensitive Diagnosis of Quality Defects in Object-Oriented Software Systems
Jörg Rech

58-60

Trust-based Recommendations in Mulit-Layer Networks
Claudia Hess

61-63

Service

Reinforcement Learning - Service
Christian Igel

44

Tagungsbericht

Sprachtechnologie und eHumanities
Angela Klutsch

64

AGI’09
Matt Miller

65

News/Ankündigung

EUMAS 2009 (CfP)
Jordi Sabater Mir

66

Impressum

Impressum 3-2009

67

Themenvorschau

Themenvorschau 3-2009

68-69

 

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