8 citations · 13 across the 11 of their papers we have counts for
4 papers · 1 filter
RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement
Junjie Lin, Jian Zhao, Lin Liu +6
Traditionally, AI development for two-player zero-sum games has relied on two primary techniques: decision trees and reinforcement learning (RL). A common approach involves using a…
DanZero+: Dominating the GuanDan Game through Reinforcement Learning
Youpeng Zhao, Yudong Lu, Jian Zhao +2
The utilization of artificial intelligence (AI) in card games has been a well-explored subject within AI research for an extensive period. Recent advancements have propelled AI pro…
DanZero: Mastering GuanDan Game with Reinforcement Learning
Yudong Lu, Jian Zhao, Youpeng Zhao +2
Card game AI has always been a hot topic in the research of artificial intelligence. In recent years, complex card games such as Mahjong, DouDizhu and Texas Hold'em have been solve…
DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided Learning
Youpeng Zhao, Jian Zhao, Xunhan Hu +2
Recent years have witnessed the great breakthrough of deep reinforcement learning (DRL) in various perfect and imperfect information games. Among these games, DouDizhu, a popular c…