activity
20232026
most citedPCGRLLM: Large Language Model-Driven Reward Design for Procedural Content Generation Reinforcement Learning

1 citations · 2 across the 11 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2025

Multi-Objective Instruction-Aware Representation Learning in Procedural Content Generation RL

Sung-Hyun Kim, Geum-Hwan Hwang, In-Chang Baek +2

Recent advancements in generative modeling emphasize the importance of natural language as a highly expressive and accessible modality for controlling content generation. However,…