144 search results - page 6 / 29 » Opponent Modeling in Poker |
ATAL
2010
Springer
13 years 9 months ago
2010
Springer
Games are used to evaluate and advance Multiagent and Artificial Intelligence techniques. Most of these games are deterministic with perfect information (e.g. Chess and Checkers)....
IDEAL
2009
Springer
14 years 13 days ago
2009
Springer
Opponent modeling is a skill in multi-agent systems (MAS) which attempts to create a model of the behavior of the opponent. This model can be used to predict the future actions of ...
ML
2006
ACM
13 years 7 months ago
2006
ACM
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...
ICMAS
1998
13 years 9 months ago
1998
This work presents a lookahead-based exploration strategy for a model-based learning agent that enables exploration of the opponent's behavior during interaction in a multi-a...
ACG
2003
Springer
14 years 1 months ago
2003
Springer
Abstract Opponent-Model search is a game-tree search method that explicitly uses knowledge of the opponent. There is some risk involved in using Opponent-Model search. Both the pre...