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» Finding Optimal Strategies for Imperfect Information Games
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AAAI
1998
13 years 6 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
COCOON
2007
Springer
13 years 10 months ago
Finding Equilibria in Games of No Chance
Abstract. We consider finding maximin strategies and equilibria of explicitly given extensive form games with imperfect information but with no moves of chance. We show that a max...
Kristoffer Arnsfelt Hansen, Peter Bro Miltersen, T...
SIGECOM
2006
ACM
135views ECommerce» more  SIGECOM 2006»
13 years 10 months ago
Finding equilibria in large sequential games of imperfect information
Finding an equilibrium of an extensive form game of imperfect information is a fundamental problem in computational game theory, but current techniques do not scale to large games...
Andrew Gilpin, Tuomas Sandholm
STOC
1994
ACM
168views Algorithms» more  STOC 1994»
13 years 8 months ago
Fast algorithms for finding randomized strategies in game trees
Interactions among agents can be conveniently described by game trees. In order to analyze a game, it is important to derive optimal (or equilibrium) strategies for the di erent p...
Daphne Koller, Nimrod Megiddo, Bernhard von Stenge...
JACM
2007
160views more  JACM 2007»
13 years 4 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