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» Localizing Search in Reinforcement Learning
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AAAI
2006
13 years 11 months ago
Disco - Novo - GoGo: Integrating Local Search and Complete Search with Restarts
A hybrid algorithm is devised to boost the performance of complete search on under-constrained problems. We suggest to use random variable selection in combination with restarts, ...
Meinolf Sellmann, Carlos Ansótegui
JSAC
2010
107views more  JSAC 2010»
13 years 8 months ago
Online learning in autonomic multi-hop wireless networks for transmitting mission-critical applications
Abstract—In this paper, we study how to optimize the transmission decisions of nodes aimed at supporting mission-critical applications, such as surveillance, security monitoring,...
Hsien-Po Shiang, Mihaela van der Schaar
ATAL
2009
Springer
14 years 4 months ago
Learning of coordination: exploiting sparse interactions in multiagent systems
Creating coordinated multiagent policies in environments with uncertainty is a challenging problem, which can be greatly simplified if the coordination needs are known to be limi...
Francisco S. Melo, Manuela M. Veloso
ROBOCUP
2009
Springer
134views Robotics» more  ROBOCUP 2009»
14 years 4 months ago
Learning Complementary Multiagent Behaviors: A Case Study
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
Shivaram Kalyanakrishnan, Peter Stone
KDD
2002
ACM
108views Data Mining» more  KDD 2002»
14 years 10 months ago
Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...
George Forman