35 citations · 49 across the 9 of their papers we have counts for
5 papers · 1 filter
Human-Aligned Procedural Level Generation Reinforcement Learning via Text-Level-Sketch Shared Representation
In-Chang Baek, Seoyoung Lee, Sung-Hyun Kim +2
Human-aligned AI is a critical component of co-creativity, as it enables models to accurately interpret human intent and generate controllable outputs that align with design goals…
IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation
In-Chang Baek, Sung-Hyun Kim, Seo-Young Lee +2
Recent research has highlighted the significance of natural language in enhancing the controllability of generative models. While various efforts have been made to leverage natural…
Automatic Curriculum Design for Zero-Shot Human-AI Coordination
Won-Sang You, Tae-Gwan Ha, Seo-Young Lee +1
Zero-shot human-AI coordination is the training of an ego-agent to coordinate with humans without human data. Most studies on zero-shot human-AI coordination have focused on enhanc…
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…
Behavioral Differences is the Key of Ad-hoc Team Cooperation in Multiplayer Games Hanabi
Hyeonchang Jeon, Kyung-Joong Kim
Ad-hoc team cooperation is the problem of cooperating with other players that have not been seen in the learning process. Recently, this problem has been considered in the context…