3 papers
cs.AI2025
PCGRLLM: Large Language Model-Driven Reward Design for Procedural Content Generation Reinforcement Learning
In-Chang Baek, Sung-Hyun Kim, Sam Earle +4
Reward design plays a pivotal role in the training of game AIs, requiring substantial domain-specific knowledge and human effort. In recent years, several studies have explored rew…
cs.AI2024
ChatPCG: Large Language Model-Driven Reward Design for Procedural Content Generation
In-Chang Baek, Tae-Hwa Park, Jin-Ha Noh +2
Driven by the rapid growth of machine learning, recent advances in game artificial intelligence (AI) have significantly impacted productivity across various gaming genres. Reward d…
cs.AI2023
RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games
Hyeon-Chang Jeon, In-Chang Baek, Cheong-mok Bae +7
The balance of game content significantly impacts the gaming experience. Unbalanced game content diminishes engagement or increases frustration because of repetitive failure. Altho…