GuanDan Game

Guandan is a complex four-player Chinese card game presenting significant challenges for artificial intelligence due to its large state and action space, and the interplay of cooperation and competition. Current research focuses on developing AI agents capable of mastering Guandan using reinforcement learning techniques, particularly deep Monte Carlo methods and policy-based algorithms, often incorporating distributed training frameworks and neural network-based behavior regulation. These advancements contribute to the broader field of AI game playing, pushing the boundaries of algorithm design and demonstrating progress in handling complex, imperfect-information scenarios. Furthermore, the development of sophisticated commentary generation systems for Guandan highlights the potential for AI to enhance human understanding and enjoyment of complex games.