On-line learning for Micro-Object Manipulation.

Abstract : This chapter presents the application of a reinforcement learning algorithm to learning on-line how to manipulate micro-objects. What makes this application original is that the action policy has been learned not thanks to a simulator but by controlling the real process. This work related to reinforcement learning for micro-robotics has been conducted at the Automatic control and Micro-Mechatronic Systems department of the FEMTO-ST Institute (Besançon - France).
Type de document :
Chapitre d'ouvrage
Olivier SIgaud, Olivier Buffet. Markov Decision Processes in Artificial Intelligence., Hardcover, pp.363-374, 2010, ISTE/WILEY
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https://hal.archives-ouvertes.fr/hal-00547490
Contributeur : Martine Azema <>
Soumis le : jeudi 16 décembre 2010 - 15:02:30
Dernière modification le : jeudi 15 février 2018 - 08:48:05

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  • HAL Id : hal-00547490, version 1

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Guillaume J. Laurent. On-line learning for Micro-Object Manipulation.. Olivier SIgaud, Olivier Buffet. Markov Decision Processes in Artificial Intelligence., Hardcover, pp.363-374, 2010, ISTE/WILEY. 〈hal-00547490〉

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