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» Convergence Time to Nash Equilibria
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SIGECOM
2004
ACM
134views ECommerce» more  SIGECOM 2004»
14 years 24 days ago
Computing approximate bayes-nash equilibria in tree-games of incomplete information
We provide efficient algorithms for finding approximate BayesNash equilibria (BNE) in graphical, specifically tree, games of incomplete information. In such games an agent’s p...
Satinder P. Singh, Vishal Soni, Michael P. Wellman
EPIA
2007
Springer
14 years 1 months ago
Convergence of Independent Adaptive Learners
In this paper we analyze the convergence of independent adaptive learners in repeated games. We show that, in this class of games, independent adaptive learners converge to pure Na...
Francisco S. Melo, Manuel C. Lopes
SAGT
2010
Springer
127views Game Theory» more  SAGT 2010»
13 years 5 months ago
On the Rate of Convergence of Fictitious Play
Fictitious play is a simple learning algorithm for strategic games that proceeds in rounds. In each round, the players play a best response to a mixed strategy that is given by the...
Felix Brandt, Felix A. Fischer, Paul Harrenstein
JSAC
2008
76views more  JSAC 2008»
13 years 7 months ago
Rate-Based Equilibria in Collision Channels with Fading
We consider a wireless collision channel, shared by a finite number of users who transmit to a common base station. Each user wishes to minimize its average transmission rate (or p...
Ishai Menache, Nahum Shimkin
COLT
2003
Springer
14 years 18 days ago
A General Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria
A general class of no-regret learning algorithms, called no-Φ-regret learning algorithms, is defined which spans the spectrum from no-external-regret learning to no-internal-reg...
Amy R. Greenwald, Amir Jafari