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» Reinforcement learning

ICML
2009
IEEE

160views Machine Learning» more ICML 2009»

The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning

14 years 10 months ago

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The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...

Carlos Diuk, Lihong Li, Bethany R. Leffler

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COLT
2000
Springer

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Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning

14 years 2 months ago

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We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...

Peter L. Bartlett, Jonathan Baxter

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IJAIT
2008

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Learning to Behave in Space: a Qualitative Spatial Representation for Robot Navigation with Reinforcement Learning

13 years 10 months ago

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ion mechanism to create a representation of space consisting of the circular order of detected landmarks and the relative position of walls towards the agent's moving directio...

Lutz Frommberger

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ATAL
2009
Springer

77views Intelligent Agents» more ATAL 2009»

Learning with whom to communicate using relational reinforcement learning

14 years 4 months ago

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Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls, ...

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