Generation of Diverse Stages in Turn-Based Role-Playing Game using Reinforcement Learning. - SangGyu Nam; Kokolo Ikeda (CoG, 2019)

Analyses of Tabular AlphaZero on NoGo. - Chu-Hsuan Hsueh; Kokolo Ikeda; Sang-Gyu Nam; I-Chen Wu (TAAI, 2020)

Generation of Game Stages With Quality and Diversity by Reinforcement Learning in Turn-Based RPG. - Sang-Gyu Nam; Chu-Hsuan Hsueh; Kokolo Ikeda (IEEE Trans. Games, 2022)

Exploring the Impact of Randomness in Roguelike Deck-Building Games: A Case Study of Slay the Spire. - SangGyu Nam; Pavinee Rerkjirattikal (IUKM (1), 2023)

Procedural Content Generation of Super Mario Levels Considering Natural Connection. - SangGyu Nam; Chu-Hsuan Hsueh; Kokolo Ikeda (JCSSE, 2023)

Using Reinforcement Learning to Generate Levels of Super Mario Bros. With Quality and Diversity. - SangGyu Nam; Chu-Hsuan Hsueh; Pavinee Rerkjirattikal; Kokolo Ikeda (IEEE Trans. Games, 2024)