Opponent modeling in a PGM framework

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 opponents actions. This paper presents an architecture and a process for developing neural ...

Modeling games has a long history in the Artificial Intelligence community. Most of the games that have been considered solved in AI are perfect information games. Imperfect information games like Poker and Bridge represent a domain where there is a ...

The game of Poker is an excellent test bed for studying opponent modeling methodologies applied to non-deterministic games with incomplete information. The most known Poker variant, Texas Hold'em Poker, combines simple rules with a huge amount of ...