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  Probabilistic Inference for Fast Learning in Control

Rasmussen, C., & Deisenroth, M. (2008). Probabilistic Inference for Fast Learning in Control. In S. Girgin, M. Loth, R. Munos, P. Preux, & D. Ryabko (Eds.), Recent Advances in Reinforcement Learning: 8th European Workshop, EWRL 2008, Villeneuve d’Ascq, France, June 30-July 3, 2008 (pp. 229-242). Berlin, Germany: Springer.

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 Creators:
Rasmussen, CE1, 2, Author           
Deisenroth, MP, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: We provide a novel framework for very fast model-based reinforcement learning in continuous state and action spaces. The framework requires probabilistic models that explicitly characterize their levels of confidence. Within this framework, we use flexible, non-parametric models to describe the world based on previously collected experience. We demonstrate learning on the cart-pole problem in a setting where we provide very limited prior knowledge about the task. Learning progresses rapidly, and a good policy is found after only a hand-full of iterations.

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 Dates: 2008-11
 Publication Status: Published in print
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-540-89722-4_18
BibTex Citekey: 5398
 Degree: -

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Title: 8th European Workshop on Reinforcement Learning (EWRL 2008)
Place of Event: Villeneuve d‘Ascq, France
Start-/End Date: 2008-06-30 - 2008-07-03

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Title: Recent Advances in Reinforcement Learning: 8th European Workshop, EWRL 2008, Villeneuve d’Ascq, France, June 30-July 3, 2008
Source Genre: Proceedings
 Creator(s):
Girgin, S, Editor
Loth, M, Editor
Munos, R, Editor
Preux, P, Editor
Ryabko, D, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 229 - 242 Identifier: ISBN: 978-3-540-89721-7

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 5323 Sequence Number: - Start / End Page: - Identifier: -

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Title: Lecture Notes in Artificial Intelligence
Source Genre: Series
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Pages: - Volume / Issue: 5323 Sequence Number: - Start / End Page: - Identifier: -