3 papers
cs.AI2026
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…
cs.AI2026
Generalized Rapid Action Value Estimation in Memory-Constrained Environments
Aloïs Rautureau, Tristan Cazenave, Ãric Piette
Generalized Rapid Action Value Estimation (GRAVE) has been shown to be a strong variant within the Monte-Carlo Tree Search (MCTS) family of algorithms for General Game Playing (GGP…
cs.AI2025
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…