Web-Based Interface for Data Labeling in StarCraft. - In-Chang Baek; Kyung-Joong Kim 001 (CIG, 2018)

Toward Cooperative Level Generation in Multiplayer Games: A User Study in Overcooked! - In-Chang Baek; Taegwan Ha; TaeHwa Park; Kyung-Joong Kim 001 (CoG, 2022)

Turing Test Framework for Cooperative Games. - In-Chang Baek; TaeHwa Park; Taegwan Ha; Kyung-Joong Kim 001 (CoG, 2022)

A Swapping Target Q-Value Technique for Data Augmentation in Offline Reinforcement Learning. - Ho-Taek Joo; In-Chang Baek; Kyung-Joong Kim 001 (IEEE Access, 2022)

RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games. - Hyeonchang Jeon; In-Chang Baek; Cheong-mok Bae; TaeHwa Park; Wonsang You; Taegwan Ha; Hoyun Jung; Jinha Noh; Seungwon Oh; Kyung-Joong Kim 001 (CoRR, 2023)

ChatPCG: Large Language Model-Driven Reward Design for Procedural Content Generation. - In-Chang Baek; TaeHwa Park; Jinha Noh; Cheong-mok Bae; Kyung-Joong Kim 001 (CoG, 2024)

RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games. - Hyeonchang Jeon; In-Chang Baek; Cheong-mok Bae; TaeHwa Park; Wonsang You; Taegwan Ha; Hoyoun Jung; Jinha Noh; Seungwon Oh; Kyung-Joong Kim 001 (IEEE Trans. Games, 2024)

IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation. - In-Chang Baek; Sung-Hyun Kim; Seo-Young Lee; Dong-Hyeon Kim; Kyung-Joong Kim 001 (CoG, 2025)

PCGRLLM: Large Language Model-Driven Reward Design for Procedural Content Generation Reinforcement Learning. - In-Chang Baek; Sung-Hyun Kim; Sam Earle; Zehua Jiang; Jinha Noh; Julian Togelius; Kyung-Joong Kim 001 (CoRR, 2025)

Multi-Objective Instruction-Aware Representation Learning in Procedural Content Generation RL. - Sung-Hyun Kim; In-Chang Baek; Seo-Young Lee; Geum-Hwan Hwang; Kyung-Joong Kim (CoRR, 2025)

Human-Aligned Procedural Level Generation Reinforcement Learning via Text-Level-Sketch Shared Representation. - In-Chang Baek; Seoyoung Lee; Sung-Hyun Kim; Geumhwan Hwang; Kyung-Joong Kim 001 (CoRR, 2025)