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COOPIS
1997
IEEE
14 years 2 months ago
Task Sharing among Agents using Reactive Rules
Coordination and collaboration are naturally used by groups for carrying out activities and solving problems that require cooperation. However, getting a set of computer agents to...
Mikael Berndtsson, Sharma Chakravarthy, Brian Ling...
ATAL
2005
Springer
14 years 3 months ago
Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing
This paper is concerned with how multi-agent reinforcement learning algorithms can practically be applied to real-life problems. Recently, a new coordinated multi-agent exploratio...
Katja Verbeeck, Ann Nowé, Karl Tuyls
AAAI
2008
14 years 16 days ago
Transfer Learning via Dimensionality Reduction
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
Sinno Jialin Pan, James T. Kwok, Qiang Yang
GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
14 years 3 months ago
Evolutionary Drug Scheduling Model for Cancer Chemotherapy
This paper presents a modified optimal control model of drug scheduling in cancer chemotherapy and a new adaptive elitist-population based genetic algorithm (AEGA) to solve it. Wo...
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
IPPS
2006
IEEE
14 years 4 months ago
Loosely-coupled loop scheduling in computational grids
Loop distribution is one of the most useful techniques to reduce the execution time of parallel applications. Traditionally, loop scheduling algorithms are implemented based on pa...
Jose Herrera, Eduardo Huedo, Rubén S. Monte...