Imagen de Portada

Procedural Content Generation via Generative Artificial Intelligence

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Mao, Xinyu, Yu, Wanli, Yamada, Kazunori D, Zielewski, Michael R.
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Learning Random Numbers to Realize Appendable Memory System for Artificial Intelligence to Acquire New Knowledge after Deployment
por: Yamada, Kazunori D
Publicado: (2024)

The Procedural Content Generation Benchmark: An Open-source Testbed for Generative Challenges in Games
por: Khalifa, Ahmed, et al.
Publicado: (2025)

Constitutive Components for Human-Like Autonomous Artificial Intelligence
por: Yamada, Kazunori D
Publicado: (2025)

Addressing the Abstraction and Reasoning Corpus via Procedural Example Generation
por: Hodel, Michael
Publicado: (2024)

Multi-Objective Instruction-Aware Representation Learning in Procedural Content Generation RL
por: Kim, Sung-Hyun, et al.
Publicado: (2025)

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning
por: Straka, Matej, et al.
Publicado: (2025)

ARC-GEN: A Mimetic Procedural Benchmark Generator for the Abstraction and Reasoning Corpus
por: Moffitt, Michael D.
Publicado: (2025)

Causal Bias Detection in Generative Artificial Intelligence
por: Plecko, Drago
Publicado: (2026)

SMGI: A Structural Theory of General Artificial Intelligence
por: Osmani, Aomar
Publicado: (2026)

Personalized Artificial General Intelligence (AGI) via Neuroscience-Inspired Continuous Learning Systems
por: Gupta, Rajeev, et al.
Publicado: (2025)

When Generative Artificial Intelligence meets Extended Reality: A Systematic Review
por: Ning, Xinyu, et al.
Publicado: (2025)

Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture
por: Yang, Zhengxin, et al.
Publicado: (2024)

Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond
por: Guo, Kehan, et al.
Publicado: (2025)

Procedural Generation of Algorithm Discovery Tasks in Machine Learning
por: Goldie, Alexander D., et al.
Publicado: (2026)

Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist
por: Ning, Yilin, et al.
Publicado: (2023)

The Roles of Generative Artificial Intelligence in Internet of Electric Vehicles
por: Zhang, Hanwen, et al.
Publicado: (2024)

An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications
por: Garrido-Merchán, Eduardo C., et al.
Publicado: (2023)

Understanding Generative AI Content with Embedding Models
por: Vargas, Max, et al.
Publicado: (2024)

Diffusion-TS: Interpretable Diffusion for General Time Series Generation
por: Yuan, Xinyu, et al.
Publicado: (2024)

Probabilistic Artificial Intelligence
por: Krause, Andreas, et al.
Publicado: (2025)

Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles
por: Zhang, Hanwen, et al.
Publicado: (2025)

General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance
por: Triguero, Isaac, et al.
Publicado: (2023)

Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
por: Xu, Wanghan, et al.
Publicado: (2024)

Generative Artificial Intelligence for Navigating Synthesizable Chemical Space
por: Gao, Wenhao, et al.
Publicado: (2024)

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
por: Yang, Xinyu, et al.
Publicado: (2025)

Toward an Artificial General Teacher: Procedural Geometry Data Generation and Visual Grounding with Vision-Language Models
por: Nguyen-Truong, Hai, et al.
Publicado: (2026)

Synthetic Data Generation for Residential Load Patterns via Recurrent GAN and Ensemble Method
por: Liang, Xinyu, et al.
Publicado: (2024)

Open-Endedness is Essential for Artificial Superhuman Intelligence
por: Hughes, Edward, et al.
Publicado: (2024)

Governance of Generative Artificial Intelligence for Companies
por: Schneider, Johannes, et al.
Publicado: (2024)

Generative Score Inference for Multimodal Data
por: Tian, Xinyu, et al.
Publicado: (2026)

Artificial General Intelligence Forecasting and Scenario Analysis: State of the Field, Methodological Gaps, and Strategic Implications
por: Sarma, Gopal P., et al.
Publicado: (2026)

Meta-GPT: Decoding the Metasurface Genome with Generative Artificial Intelligence
por: Dang, David, et al.
Publicado: (2025)

The Phantom of PCIe: Constraining Generative Artificial Intelligences for Practical Peripherals Trace Synthesizing
por: Huang, Zhibai, et al.
Publicado: (2024)

Partial Differential Equations is All You Need for Generating Neural Architectures -- A Theory for Physical Artificial Intelligence Systems
por: Guo, Ping, et al.
Publicado: (2021)

Using Offline Data to Speed Up Reinforcement Learning in Procedurally Generated Environments
por: Andres, Alain, et al.
Publicado: (2023)

A Methodology for Thermal Limit Bias Predictability Through Artificial Intelligence
por: Tunga, Anirudh, et al.
Publicado: (2026)

UrbanMind: Towards Urban General Intelligence via Tool-Enhanced Retrieval-Augmented Generation and Multilevel Optimization
por: Yang, Kai, et al.
Publicado: (2025)

Generative Distribution Prediction: A Unified Approach to Multimodal Learning
por: Tian, Xinyu, et al.
Publicado: (2025)

Exploring the Impact of Generative Artificial Intelligence in Education: A Thematic Analysis
por: Kaushik, Abhishek, et al.
Publicado: (2025)

Engagement-Driven Content Generation with Large Language Models
por: Coppolillo, Erica, et al.
Publicado: (2024)