Computing card probabilities in Texas Hold'em
Developing Poker agents that can compete at the level of a human expert can be a
challenging endeavor, since agents' strategies must be capable of dealing with hidden …
challenging endeavor, since agents' strategies must be capable of dealing with hidden …
A profitable online no-limit poker playing agent
The No-Limit Texas Hold'em variant of Poker is the game that is most frequently used to
assess new developments in incomplete information problems, through the development of …
assess new developments in incomplete information problems, through the development of …
[PDF][PDF] Speeding-up poker game abstraction computation: average rank strength
Some of the most successful Poker agents that participate in the Annual Computer Poker
Competition (ACPC) use an almost zero regret strategy: a strategy that approximates a Nash …
Competition (ACPC) use an almost zero regret strategy: a strategy that approximates a Nash …
Poker learner: Players modeling through data-mining
In recent years the game of poker has created a high interest on researchers from the
artificial intelligence area. Unlike board games, poker is an incomplete information game …
artificial intelligence area. Unlike board games, poker is an incomplete information game …
Pokerbot: Hand strength reinforcement learning
A Ramirez, S Reinman… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
We sought to explore the problem of teaching a reinforcement learning agent how to play
Texas HoldEm (THE), a popular poker game played with a standard 52-card deck. This is an …
Texas HoldEm (THE), a popular poker game played with a standard 52-card deck. This is an …
Rule based strategies for large extensive-form games: A specification language for No-Limit Texas Hold'em agents
Poker is used to measure progresses in extensive-form games research due to its unique
characteristics: it is a game where playing agents have to deal with incomplete information …
characteristics: it is a game where playing agents have to deal with incomplete information …
Professional poker players' modeling using data-mining
Poker has been gradually gaining the attention of the scientific community, mostly in
researchers on Artificial Intelligence. The main reason is concerned with the fact that Poker …
researchers on Artificial Intelligence. The main reason is concerned with the fact that Poker …
Methodologies and tools for creating competitive poker playing agents
LFG Teófilo - 2016 - search.proquest.com
Many researchers have devoted their time to develop software agents intended for strategic
games. These agents obtained outstanding results in popular games such as Chess in …
games. These agents obtained outstanding results in popular games such as Chess in …
Guiding monte carlo tree search simulations through bayesian opponent modeling in the octagon theory
HMPL Fernandes - 2013 - repositorio-aberto.up.pt
Board games present a very challenging problem in the decision-making topic of Artificial
Intelligence. Although classical tree search approaches have been successful in various …
Intelligence. Although classical tree search approaches have been successful in various …
Data mining for prediction of moves of professional poker players: An experimental approach
M Cardoso, D Oliveira, D Postolaki… - 2017 12th Iberian …, 2017 - ieeexplore.ieee.org
With the growing interest in research in poker, by scientists belonging to the area of Artificial
Intelligence, has arisen the need to overcome the imperfect information of the same, as a …
Intelligence, has arisen the need to overcome the imperfect information of the same, as a …