Player identification and next-move prediction for collectible card games with imperfect information
L Fields, J Licato - Proceedings of the AAAI Conference on Artificial …, 2023 - ojs.aaai.org
Effectively identifying an individual and predicting their future actions is a material aspect of
player analytics, with applications for player engagement and game security. Collectible …
player analytics, with applications for player engagement and game security. Collectible …
Two-Step Reinforcement Learning for Multistage Strategy Card Game
K Godlewski, B Sawicki - arXiv preprint arXiv:2311.17305, 2023 - arxiv.org
In the realm of artificial intelligence and card games, this study introduces a two-step
reinforcement learning (RL) strategy tailored for" The Lord of the Rings: The Card Game …
reinforcement learning (RL) strategy tailored for" The Lord of the Rings: The Card Game …
Mastering the Card Game of Jaipur Through Zero-Knowledge Self-Play Reinforcement Learning and Action Masks
C Cutajar, J Bajada - International Conference of the Italian Association for …, 2023 - Springer
Jaipur is a challenging two-player score-based strategy game where the players take turns
to trade and sell cards for points, with the objective of having more points than the opponent …
to trade and sell cards for points, with the objective of having more points than the opponent …
Individual Behavioral Modeling Across Games of Strategy
L Fields - 2024 - search.proquest.com
An individual's actions in a particular environment and with specified resources can reveal
their decision-making tendencies and patterns, and by analyzing the variations in cognitive …
their decision-making tendencies and patterns, and by analyzing the variations in cognitive …