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PCGRLLM: Large Language Model-Driven Reward Design for Procedural Content Generation Reinforcement Learning

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Baek, In-Chang, Kim, Sung-Hyun, Earle, Sam, Jiang, Zehua, Noh, Jin-Ha, Togelius, Julian, Kim, Kyung-Joong
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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