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» Opponent Modeling in Poker
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GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
14 years 2 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...
AAAI
2006
13 years 9 months ago
Prob-Maxn: Playing N-Player Games with Opponent Models
Much of the work on opponent modeling for game tree search has been unsuccessful. In two-player, zero-sum games, the gains from opponent modeling are often outweighed by the cost ...
Nathan R. Sturtevant, Martin Zinkevich, Michael H....
AI
1998
Springer
13 years 7 months ago
Pruning Algorithms for Multi-Model Adversary Search
The Multi-model search framework generalizes minimax to allow exploitation of recursive opponent models. In this work we consider adding pruning to the multi-model search. We prov...
David Carmel, Shaul Markovitch
ROBOCUP
2004
Springer
106views Robotics» more  ROBOCUP 2004»
14 years 1 months ago
Predicting Opponent Actions by Observation
In competitive domains, the knowledge about the opponent can give players a clear advantage. This idea lead us in the past to propose an approach to acquire models of opponents, ba...
Agapito Ledezma, Ricardo Aler, Araceli Sanch&iacut...