Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning
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Published By Springer Berlin Heidelberg

9783540897217, 9783540897224

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Exploiting Additive Structure in Factored MDPs for Reinforcement Learning

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-540-89722-4_2 ◽

2008 ◽

pp. 15-26

Author(s):

Thomas Degris ◽

Olivier Sigaud ◽

Pierre-Henri Wuillemin

Keyword(s):

Reinforcement Learning ◽

Additive Structure

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Use of Reinforcement Learning in Two Real Applications

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-540-89722-4_15 ◽

2008 ◽

pp. 191-204 ◽

Cited By ~ 3

Author(s):

José D. Martín-Guerrero ◽

Emilio Soria-Olivas ◽

Marcelino Martínez-Sober ◽

Antonio J. Serrrano-López ◽

Rafael Magdalena-Benedito ◽

...

Keyword(s):

Reinforcement Learning

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Probabilistic Inference for Fast Learning in Control

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-540-89722-4_18 ◽

2008 ◽

pp. 229-242 ◽

Cited By ~ 7

Author(s):

Carl Edward Rasmussen ◽

Marc Peter Deisenroth

Keyword(s):

Probabilistic Inference ◽

Fast Learning

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Regularized Fitted Q-Iteration: Application to Planning

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-540-89722-4_5 ◽

2008 ◽

pp. 55-68 ◽

Cited By ~ 8

Author(s):

Amir massoud Farahmand ◽

Mohammad Ghavamzadeh ◽

Csaba Szepesvári ◽

Shie Mannor

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Bayesian Reward Filtering

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-540-89722-4_8 ◽

2008 ◽

pp. 96-109 ◽

Cited By ~ 2

Author(s):

Matthieu Geist ◽

Olivier Pietquin ◽

Gabriel Fricout

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Reinforcement Learning with the Use of Costly Features

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-540-89722-4_10 ◽

2008 ◽

pp. 124-135

Author(s):

Robby Goetschalckx ◽

Scott Sanner ◽

Kurt Driessens

Keyword(s):

Reinforcement Learning

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Lazy Planning under Uncertainty by Optimizing Decisions on an Ensemble of Incomplete Disturbance Trees

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-540-89722-4_1 ◽

2008 ◽

pp. 1-14 ◽

Cited By ~ 2

Author(s):

Boris Defourny ◽

Damien Ernst ◽

Louis Wehenkel

Keyword(s):

Planning Under Uncertainty

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Tile Coding Based on Hyperplane Tiles

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-540-89722-4_14 ◽

2008 ◽

pp. 179-190 ◽

Cited By ~ 1

Author(s):

Daniele Loiacono ◽

Pier Luca Lanzi

Keyword(s):

Tile Coding

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Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-540-89722-4_11 ◽

2008 ◽

pp. 136-150 ◽

Cited By ~ 7

Author(s):

Verena Heidrich-Meisner ◽

Christian Igel

Keyword(s):

Reinforcement Learning ◽

Learning Methods ◽

Variable Metric

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Policy Iteration for Learning an Exercise Policy for American Options

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning ◽

10.1007/978-3-540-89722-4_13 ◽

2008 ◽

pp. 165-178

Author(s):

Yuxi Li ◽

Dale Schuurmans

Keyword(s):

American Options ◽

Policy Iteration

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Lecture Notes in Computer Science - Recent Advances in Reinforcement LearningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Exploiting Additive Structure in Factored MDPs for Reinforcement Learning

Use of Reinforcement Learning in Two Real Applications

Probabilistic Inference for Fast Learning in Control

Regularized Fitted Q-Iteration: Application to Planning

Bayesian Reward Filtering

Reinforcement Learning with the Use of Costly Features

Lazy Planning under Uncertainty by Optimizing Decisions on an Ensemble of Incomplete Disturbance Trees

Tile Coding Based on Hyperplane Tiles

Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem

Policy Iteration for Learning an Exercise Policy for American Options

Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning
Latest Publications