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NIPS
2007
13 years 8 months ago
Regret Minimization in Games with Incomplete Information
Extensive games are a powerful model of multiagent decision-making scenarios with incomplete information. Finding a Nash equilibrium for very large instances of these games has re...
Martin Zinkevich, Michael Johanson, Michael H. Bow...
SIGECOM
2006
ACM
184views ECommerce» more  SIGECOM 2006»
14 years 1 months ago
Computing pure nash equilibria in graphical games via markov random fields
We present a reduction from graphical games to Markov random fields so that pure Nash equilibria in the former can be found by statistical inference on the latter. Our result, wh...
Constantinos Daskalakis, Christos H. Papadimitriou
CORR
2008
Springer
118views Education» more  CORR 2008»
13 years 7 months ago
Correlated Equilibria in Continuous Games: Characterization and Computation
We present several new characterizations of correlated equilibria in games with continuous utility functions. These have the advantage of being more computationally and analytical...
Noah D. Stein, Pablo A. Parrilo, Asuman E. Ozdagla...
WINE
2007
Springer
166views Economy» more  WINE 2007»
14 years 1 months ago
Gradient-Based Algorithms for Finding Nash Equilibria in Extensive Form Games
We present a computational approach to the saddle-point formulation for the Nash equilibria of two-person, zero-sum sequential games of imperfect information. The algorithm is a ...
Andrew Gilpin, Samid Hoda, Javier Peña, Tuo...
JACM
2007
160views more  JACM 2007»
13 years 7 months ago
Lossless abstraction of imperfect information games
abstraction of imperfect information games ANDREW GILPIN and TUOMAS SANDHOLM Computer Science Department Carnegie Mellon University Pittsburgh, PA, USA Finding an equilibrium of an...
Andrew Gilpin, Tuomas Sandholm