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ATAL
2003
Springer
14 years 1 months ago
A selection-mutation model for q-learning in multi-agent systems
Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not always justified. The fe...
Karl Tuyls, Katja Verbeeck, Tom Lenaerts
SPIRE
2005
Springer
14 years 1 months ago
Faster Generation of Super Condensed Neighbourhoods Using Finite Automata
We present a new algorithm for generating super condensed neighbourhoods. Super condensed neighbourhoods have recently been presented as the minimal set of words that represent a p...
Luís M. S. Russo, Arlindo L. Oliveira
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 2 months ago
A multi-objective approach to search-based test data generation
There has been a considerable body of work on search–based test data generation for branch coverage. However, hitherto, there has been no work on multi–objective branch covera...
Kiran Lakhotia, Mark Harman, Phil McMinn
SIGMOD
1999
ACM
98views Database» more  SIGMOD 1999»
14 years 6 days ago
Integration of Spatial Join Algorithms for Processing Multiple Inputs
Several techniques that compute the join between two spatial datasets have been proposed during the last decade. Among these methods, some consider existing indices for the joined...
Nikos Mamoulis, Dimitris Papadias
VLDB
1994
ACM
101views Database» more  VLDB 1994»
13 years 12 months ago
Memory-Contention Responsive Hash Joins
In order to maximize systemperformancein environments with fluctuating memory contention, memory-intensive algorithms such as hash join must gracefully adapt to variations in avai...
Diane L. Davison, Goetz Graefe