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» Finding Optimal Abstract Strategies in Extensive-Form Games
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JACM
2007
160views more  JACM 2007»
13 years 5 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
SODA
2008
ACM
134views Algorithms» more  SODA 2008»
13 years 7 months ago
Fast algorithms for finding proper strategies in game trees
We show how to find a normal form proper equilibrium in behavior strategies of a given two-player zero-sum extensive form game with imperfect information but perfect recall. Our a...
Peter Bro Miltersen, Troels Bjerre Sørensen
ICRA
2009
IEEE
126views Robotics» more  ICRA 2009»
14 years 12 days ago
Finding the optimal strategies for robotic patrolling with adversaries in topologically-represented environments
Abstract— Using autonomous mobile robots to patrol environments for detecting intruders is a topic of increasing relevance for its possible applications. A large part of strategi...
Francesco Amigoni, Nicola Basilico, Nicola Gatti
AAAI
1998
13 years 7 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
STOC
1994
ACM
168views Algorithms» more  STOC 1994»
13 years 9 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...