144 search results - page 1 / 29 » Opponent Modeling in Poker |
AAAI
2008
13 years 9 months ago
2008
We propose an opponent modeling approach for no-limit Texas hold-em poker that starts from a (learned) prior, i.e., general expectations about opponent behavior and learns a relat...
AAAI
1998
13 years 8 months ago
1998
Poker is an interesting test-bed for artificial intelligence research. It is a game of imperfect knowledge, where multiple competing agents must deal with risk management, agent m...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
ATAL
2011
Springer
12 years 7 months ago
2011
Springer
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...
CIG
2006
IEEE
14 years 1 months ago
2006
IEEE
— This paper develops an approach to the capture and measurement of the information contained in opponents’ bet actions in seven card stud poker. We develop a causal model link...