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JMLR
2006
153views more  JMLR 2006»
13 years 8 months ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis
CBMS
2005
IEEE
14 years 2 months ago
Approximations to Magic: Finding Unusual Medical Time Series
In this work we introduce the new problem of finding time series discords. Time series discords are subsequences of longer time series that are maximally different to all the rest...
Jessica Lin, Eamonn J. Keogh, Ada Wai-Chee Fu, Hel...
ASPDAC
2008
ACM
154views Hardware» more  ASPDAC 2008»
13 years 10 months ago
Automated techniques for energy efficient scheduling on homogeneous and heterogeneous chip multi-processor architectures
Abstract-- We address performance maximization of independent task sets under energy constraint on chip multi-processor (CMP) architectures that support multiple voltage/frequency ...
Sushu Zhang, Karam S. Chatha
ESANN
2007
13 years 10 months ago
Adaptive Global Metamodeling with Neural Networks
Due to the scale and computational complexity of current simulation codes, metamodels (or surrogate models) have become indispensable tools for exploring and understanding the desi...
Dirk Gorissen, Wouter Hendrickx, Tom Dhaene
CORR
2011
Springer
183views Education» more  CORR 2011»
13 years 3 months ago
Mean-Variance Optimization in Markov Decision Processes
We consider finite horizon Markov decision processes under performance measures that involve both the mean and the variance of the cumulative reward. We show that either randomiz...
Shie Mannor, John N. Tsitsiklis