activity
20242026
collaborators

6 papers

cs.AI2026

Evaluating Game Difficulty in Tetris Block Puzzle

Chun-Jui Wang, Jian-Ting Guo, Hung Guei +3

Tetris Block Puzzle is a single player stochastic puzzle in which a player places blocks on an 8 x 8 grid to complete lines; its popular variants have amassed tens of millions of d…

cs.AI2025

A Study of Solving Life-and-Death Problems in Go Using Relevance-Zone Based Solvers

Chung-Chin Shih, Ti-Rong Wu, Ting Han Wei +3

This paper analyzes the behavior of solving Life-and-Death (L&D) problems in the game of Go using current state-of-the-art computer Go solvers with two techniques: the Relevance-Zo…

cs.AI2025

Relevance-Zone Reduction in Game Solving

Chi-Huang Lin, Ting Han Wei, Chun-Jui Wang +5

Game solving aims to find the optimal strategies for all players and determine the theoretical outcome of a game. However, due to the exponential growth of game trees, many games r…

cs.AI2025

Strength Estimation and Human-Like Strength Adjustment in Games

Chun Jung Chen, Chung-Chin Shih, Ti-Rong Wu

Strength estimation and adjustment are crucial in designing human-AI interactions, particularly in games where AI surpasses human players. This paper introduces a novel strength sy…

cs.AI2024

Solving 7x7 Killall-Go with Seki Database

Yun-Jui Tsai, Ting Han Wei, Chi-Huang Lin +4

Game solving is the process of finding the theoretical outcome for a game, assuming that all player choices are optimal. This paper focuses on a technique that can reduce the heuri…

cs.LG2024

Bridging Local and Global Knowledge via Transformer in Board Games

Yan-Ru Ju, Tai-Lin Wu, Chung-Chin Shih +1

Although AlphaZero has achieved superhuman performance in board games, recent studies reveal its limitations in handling scenarios requiring a comprehensive understanding of the en…