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» Policy Tree: Adaptive Representation for Policy Gradient
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AIIA
2007
Springer
14 years 1 months ago
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
ICCBR
2007
Springer
14 years 1 months ago
An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs
We identify two fundamental points of utilizing CBR for an adaptive agent that tries to learn on the basis of trial and error without a model of its environment. The first link co...
Thomas Gabel, Martin Riedmiller
MM
2005
ACM
143views Multimedia» more  MM 2005»
14 years 1 months ago
An adaptation framework for new media artworks
In this paper, we are interested in adaptation mechanisms for the design, creation and experimentation of adaptive and interactive new media artworks. Through a concrete case stud...
Anis Ouali, Brigitte Kerhervé, Paul Landon
SWAT
2004
Springer
120views Algorithms» more  SWAT 2004»
14 years 25 days ago
Railway Delay Management: Exploring Its Algorithmic Complexity
We consider delay management in railway systems. Given delayed trains, we want to find a waiting policy for the connecting trains minimizing the weighted total passenger delay. If...
Michael Gatto, Björn Glaus, Riko Jacob, Leon ...
ICRA
2008
IEEE
143views Robotics» more  ICRA 2008»
14 years 1 months ago
Adaptive workspace biasing for sampling-based planners
Abstract— The widespread success of sampling-based planning algorithms stems from their ability to rapidly discover the connectivity of a configuration space. Past research has ...
Matthew Zucker, James Kuffner, James A. Bagnell