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Selecting the State-Representation in Reinforcement Learning

Odalric-Ambrym Maillard 1 Rémi Munos 1 Daniil Ryabko 1
1 SEQUEL - Sequential Learning
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe, LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal
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https://hal.inria.fr/hal-00639483
Contributor : Daniil Ryabko <>
Submitted on : Wednesday, November 9, 2011 - 12:25:02 PM
Last modification on : Thursday, February 21, 2019 - 10:52:49 AM

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  • HAL Id : hal-00639483, version 1

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CNRS | INRIA | UNIV-LILLE3 | LAGIS

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Odalric-Ambrym Maillard, Rémi Munos, Daniil Ryabko. Selecting the State-Representation in Reinforcement Learning. Neural Information Processing Systems, Dec 2011, Granada, Spain. ⟨hal-00639483⟩

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