4 papers
Toward Modeling Player-Specific Chess Behaviors
Loris Sogliuzzo, Aloïs Rautureau, Eric Piette
While artificial intelligence has achieved superhuman performance in chess, developing models that accurately emulate the individualized decision-making styles of human players rem…
Valet: A Standardized Testbed of Traditional Imperfect-Information Card Games
Mark Goadrich, Achille Morenville, Ãric Piette
AI algorithms for imperfect-information games are typically compared using performance metrics on individual games, making it difficult to assess robustness across game choices. Ca…
Modeling Uncertainty: Constraint-Based Belief States in Imperfect-Information Games
Achille Morenville, Ãric Piette
In imperfect-information games, agents must make decisions based on partial knowledge of the game state. The Belief Stochastic Game model addresses this challenge by delegating sta…
CogniPlay: a work-in-progress Human-like model for General Game Playing
Aloïs Rautureau, Ãric Piette
While AI systems have equaled or surpassed human performance in a wide variety of games such as Chess, Go, or Dota 2, describing these systems as truly "human-like" remains far-fet…