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TSMC
2008
146views more  TSMC 2008»
13 years 7 months ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
JNCA
2007
136views more  JNCA 2007»
13 years 7 months ago
Adaptive anomaly detection with evolving connectionist systems
Anomaly detection holds great potential for detecting previously unknown attacks. In order to be effective in a practical environment, anomaly detection systems have to be capable...
Yihua Liao, V. Rao Vemuri, Alejandro Pasos
AI
2002
Springer
13 years 7 months ago
Multiagent learning using a variable learning rate
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
Michael H. Bowling, Manuela M. Veloso
AUTOMATICA
2004
47views more  AUTOMATICA 2004»
13 years 7 months ago
Multi-input digital frequency stabilization of monolithic lasers
A digital control application for the frequency stabilization of optical frequency standards is presented. The standard employed is a monolithic neodymium in yttrium aluminum garn...
Enrico S. Canuto, Andrea Rolino
COGSCI
2002
83views more  COGSCI 2002»
13 years 7 months ago
Strategies in sentential reasoning
Four experiments examined the strategies that individuals develop in sentential reasoning. They led to the discovery of five different strategies. According to the theory proposed...
Jean-Baptiste Van der Henst, Yingrui Yang, Philip ...