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CCGRID
2008
IEEE
13 years 10 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
ICAC
2008
IEEE
13 years 10 months ago
Utility-Based Reinforcement Learning for Reactive Grids
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
ECML
2003
Springer
13 years 8 months ago
Could Active Perception Aid Navigation of Partially Observable Grid Worlds?
Due to the unavoidable fact that a robot’s sensors will be limited in some manner, it is entirely possible that it can find itself unable to distinguish between differing state...
Paul A. Crook, Gillian Hayes
ML
1998
ACM
148views Machine Learning» more  ML 1998»
13 years 3 months ago
Colearning in Differential Games
Game playing has been a popular problem area for research in artificial intelligence and machine learning for many years. In almost every study of game playing and machine learnin...
John W. Sheppard
CATE
2004
128views Education» more  CATE 2004»
13 years 5 months ago
A Service-oriented Approach for Pervasive Learning Grid
This investigation proposed a service-oriented approach based on a pervasive learning grid for solving the difficulties associated with sharing learning resources distributed on d...
Ching-Jung Liao, Fan-Chuan Yang