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ML
2007
ACM
104views Machine Learning» more  ML 2007»
15 years 6 months ago
A general criterion and an algorithmic framework for learning in multi-agent systems
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
Rob Powers, Yoav Shoham, Thuc Vu
VTC
2007
IEEE
105views Communications» more  VTC 2007»
16 years 1 months ago
Scheduling Algorithms For Policy Driven QoS Support in HSDPA Networks
— Increasing demand for high data-rate multimedia services has led to the emergence of high-speed data transfer features such as High-Speed Downlink Packet Access (HSDPA) for WCD...
Joseph S. Gomes, Mira Yun, Hyeong-Ah Choi, Jae-Hoo...
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
15 years 10 months ago
DECA: dimension extracting coevolutionary algorithm
Coevolution has often been based on averaged outcomes, resulting in unstable evaluation. Several theoretical approaches have used archives to provide stable evaluation. However, t...
Edwin D. de Jong, Anthony Bucci
IJNSEC
2007
144views more  IJNSEC 2007»
15 years 6 months ago
IPLess Stochastic Anonymous Routing Algorithm Using Multi-Agent Systems
The ability of communicating with a selected party anonymously is an important aspect of network security. Communicating anonymously means that no adversary can discern who is com...
Magdy Saeb, Meer Hamza, Ahmed El-Shikh
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 7 months ago
Genetic algorithms for mentor-assisted evaluation function optimization
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an approp...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...