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TSMC
2008
146views more  TSMC 2008»
15 years 4 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
TSMC
2008
229views more  TSMC 2008»
15 years 4 months ago
A Comprehensive Survey of Multiagent Reinforcement Learning
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
Lucian Busoniu, Robert Babuska, Bart De Schutter
TSMC
2008
162views more  TSMC 2008»
15 years 4 months ago
A New Model for Secure Dissemination of XML Content
Abstract--The paper proposes an approach to content dissemination that exploits the structural properties of an Extensible Markup Language (XML) document object model in order to p...
Ashish Kundu, Elisa Bertino
JSW
2007
185views more  JSW 2007»
15 years 4 months ago
A Decision Support System base line Flexible Architecture to Intrusion Detection
—Becoming more competitive and more effective in the current scenes of Business and Public Administration, the organizations must be able to approach easily and quickly to the in...
Marcello Castellano, Giuseppe Mastronardi, Angela ...
CN
2004
99views more  CN 2004»
15 years 4 months ago
Efficient peer location on the Internet
We consider the problem of locating nearby application peers over the Internet. We define a new peer-location scheme (called Tiers), that scales to large application peer groups. ...
Suman Banerjee, Christopher Kommareddy, Bobby Bhat...