1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Policies of Multiple Skill Levels for Better Strength Estimation in Games
Kyota Kuboki, Tatsuyoshi Ogawa, Chu-Hsuan Hsueh +2
Accurately estimating human skill levels is crucial for designing effective human-AI interactions so that AI can provide appropriate challenges or guidance. In games where AI playe…
cs.LG2016★ 1 cited
Multi-Stage Temporal Difference Learning for 2048-like Games
Kun-Hao Yeh, I-Chen Wu, Chu-Hsuan Hsueh +3
Szubert and Jaskowski successfully used temporal difference (TD) learning together with n-tuple networks for playing the game 2048. However, we observed a phenomenon that the progr…