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» Opponent Modeling in Real-Time Strategy Games
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GAMEON
2007
13 years 6 months ago
Opponent Modeling in Real-Time Strategy Games
Real-time strategy games present an environment in which game AI is expected to behave realistically. One feature of realistic behaviour in game AI is the ability to recognise the...
Frederik Schadd, Sander Bakkes, Pieter Spronck
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
ICCBR
2005
Springer
13 years 10 months ago
Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game
While several researchers have applied case-based reasoning techniques to games, only Ponsen and Spronck (2004) have addressed the challenging problem of learning to win real-time ...
David W. Aha, Matthew Molineaux, Marc J. V. Ponsen
GECCO
2003
Springer
133views Optimization» more  GECCO 2003»
13 years 9 months ago
Dynamic Strategies in a Real-Time Strategy Game
Abstract. Most modern real-time strategy computer games have a sophisticated but fixed ‘AI’ component that controls the computer’s actions. Once the user has learned how suc...
William Joseph Falke II, Peter Ross
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...