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» Constructing States for Reinforcement Learning

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PRICAI
2000
Springer

193views Artificial Intelligence» more PRICAI 2000»

Generating Hierarchical Structure in Reinforcement Learning from State Variables

13 years 11 months ago

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This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...

Bernhard Hengst

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NECO
2007

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Reinforcement Learning State Estimator

13 years 7 months ago

Download www.nc.irp.oist.jp

cal networks in the learning of abstract and effector-specific representations of motor sequences. Neuroimage. 32, 714-727. (Neuroimage Editor’s Choice Award, 2006) Daw, N. D. Do...

Jun Morimoto, Kenji Doya

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NIPS
1993

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The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces

13 years 9 months ago

Download www.ri.cmu.edu

Parti-game is a new algorithm for learning feasible trajectories to goal regions in high dimensionalcontinuousstate-spaces. In high dimensions it is essential that learningdoes not...

Andrew W. Moore

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AUSAI
2007
Springer

97views Artificial Intelligence» more AUSAI 2007»

Safe State Abstraction and Reusable Continuing Subtasks in Hierarchical Reinforcement Learning

14 years 1 months ago

Download www.cse.unsw.edu.au

Bernhard Hengst

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