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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …