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» Algorithms, games, and the internet
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AI
2002
Springer
15 years 6 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
SEMWEB
2010
Springer
15 years 4 months ago
Signal/Collect: Graph Algorithms for the (Semantic) Web
The Semantic Web graph is growing at an incredible pace, enabling opportunities to discover new knowledge by interlinking and analyzing previously unconnected data sets. This confr...
Philip Stutz, Abraham Bernstein, William Cohen
CEAS
2006
Springer
15 years 10 months ago
Algorithmically Determining Store-and-Forward MTA Relays Using DomainKeys
Store-and-forward MTA relaying servers have frequently presented problems to various antispam techniques, such as IPbased reputation or email authentication. Algorithms that find ...
Miles Libbey, Peter Ludemann
CDC
2008
IEEE
111views Control Systems» more  CDC 2008»
16 years 1 months ago
Computing correlated equilibria of polynomial games via adaptive discretization
— We construct a family of iterative discretization algorithms for computing sequences of finitely-supported correlated equilibria of n-player games with polynomial utility func...
Noah D. Stein, Asuman E. Ozdaglar, Pablo A. Parril...
AAAI
1998
15 years 8 months ago
Finding Optimal Strategies for Imperfect Information Games
Weexaminethree heuristic algorithms for gameswith imperfect information: Monte-carlo sampling, and two newalgorithms wecall vector minimaxingand payoffreduction minimaxing. Wecomp...
Ian Frank, David A. Basin, Hitoshi Matsubara