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CLIMA
2011
12 years 7 months ago
Verifying Team Formation Protocols with Probabilistic Model Checking
Multi-agent systems are an increasingly important software paradigm and in many of its applications agents cooperate to achieve a particular goal. This requires the design of effi...
Taolue Chen, Marta Z. Kwiatkowska, David Parker, A...
NIPS
2004
13 years 8 months ago
Convergence and No-Regret in Multiagent Learning
Learning in a multiagent system is a challenging problem due to two key factors. First, if other agents are simultaneously learning then the environment is no longer stationary, t...
Michael H. Bowling
DASFAA
2008
IEEE
156views Database» more  DASFAA 2008»
13 years 7 months ago
Load Balancing for Moving Object Management in a P2P Network
Abstract. Online games and location-based services now form the potential application domains for the P2P paradigm. In P2P systems, balancing the workload is essential for overall ...
Mohammed Eunus Ali, Egemen Tanin, Rui Zhang, Lars ...
ML
2007
ACM
104views Machine Learning» more  ML 2007»
13 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
CORR
2008
Springer
170views Education» more  CORR 2008»
13 years 7 months ago
To Broad-Match or Not to Broad-Match : An Auctioneer's Dilemma ?
We initiate the study of an interesting aspect of sponsored search advertising, namely the consequences of broad match- a feature where an ad of an advertiser can be mapped to a b...
Sudhir Kumar Singh, Vwani P. Roychowdhury