5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 5 cited
Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End Policy and Optimistic Smooth Fictitious Play
Wei Xi, Yongxin Zhang, Changnan Xiao +5
Deep Reinforcement Learning combined with Fictitious Play shows impressive results on many benchmark games, most of which are, however, single-stage. In contrast, real-world decisi…
cs.LG2023
Mastering Strategy Card Game (Hearthstone) with Improved Techniques
Changnan Xiao, Yongxin Zhang, Xuefeng Huang +3
Strategy card game is a well-known genre that is demanding on the intelligent game-play and can be an ideal test-bench for AI. Previous work combines an end-to-end policy function…