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ATAL
2011
Springer
12 years 4 months ago
Game theory-based opponent modeling in large imperfect-information games
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
Sam Ganzfried, Tuomas Sandholm
AAAI
2006
13 years 5 months ago
Overconfidence or Paranoia? Search in Imperfect-Information Games
We derive a recursive formula for expected utility values in imperfect- information game trees, and an imperfectinformation game tree search algorithm based on it. The formula and...
Austin Parker, Dana S. Nau, V. S. Subrahmanian
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
13 years 10 months ago
Evolving explicit opponent models in game playing
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
Alan J. Lockett, Charles L. Chen, Risto Miikkulain...
CG
2004
Springer
13 years 10 months ago
Current Challenges in Multi-player Game Search
Abstract. Years of work have gone into algorithms and optimizations for twoplayer perfect-information games such as Chess and Checkers. It is only more recently that serious resear...
Nathan R. Sturtevant
CIG
2006
IEEE
13 years 10 months ago
Evolving Adaptive Play for the Game of Spoof Using Genetic Programming
Abstract— Many games require opponent modelling for optimal performance. The implicit learning and adaptive nature of evolutionary computation techniques offer a natural way to d...
Mark Wittkamp, Luigi Barone