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ACG
2009
Springer
15 years 6 months ago
Monte-Carlo Tree Search in Settlers of Catan
Abstract. Games are considered important benchmark tasks of artificial intelligence research. Modern strategic board games can typically be played by three or more people, which m...
Istvan Szita, Guillaume Chaslot, Pieter Spronck
APPROX
2010
Springer
207views Algorithms» more  APPROX 2010»
15 years 27 days ago
Exploiting Concavity in Bimatrix Games: New Polynomially Tractable Subclasses
Abstract. We study the fundamental problem of computing an arbitrary Nash equilibrium in bimatrix games. We start by proposing a novel characterization of the set of Nash equilibri...
Spyros C. Kontogiannis, Paul G. Spirakis
FOCS
2010
IEEE
14 years 9 months ago
Subexponential Algorithms for Unique Games and Related Problems
We give subexponential time approximation algorithms for UNIQUE GAMES and the SMALL-SET EXPANSION. Specifically, for some absolute constant c, we give:
Sanjeev Arora, Boaz Barak, David Steurer
STOC
1994
ACM
168views Algorithms» more  STOC 1994»
15 years 3 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...
ICONIP
2007
15 years 23 days ago
Practical Recurrent Learning (PRL) in the Discrete Time Domain
One of the authors has proposed a simple learning algorithm for recurrent neural networks, which requires computational cost and memory capacity in practical order O(n2 )[1]. The a...
Mohamad Faizal Bin Samsudin, Takeshi Hirose, Katsu...