Automated Design

2 items

RESEARCHarXiv CS.LG·4/16/2026

Automated co-design of high-performance thermodynamic cycles via graph-based hierarchical reinforcement learning

This study introduces a graph-based hierarchical reinforcement learning approach for the automated co-design of high-performance thermodynamic cycles. It encodes cycles as graphs, uses a deep learning surrogate for decoding, and employs a hierarchical RL framework for structural evolution and parameter optimization.

Energy Systems deep learning reinforcement learning Graph Neural Networks

RESEARCHarXiv CS.CL·4/7/2026

Evolutionary Search for Automated Design of Uncertainty Quantification Methods

Este artigo explora o uso de busca evolucionária impulsionada por LLMs para desenvolver automaticamente métodos de Quantificação de Incerteza (UQ) não supervisionados. Os métodos evoluídos superam baselines manuais em verificação de alegações, demonstrando generalização robusta e estratégias distintas entre diferentes modelos de LLM.

LLMs Uncertainty Quantification Evolutionary Search AI Research