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Abstract: Evolutionary reinforcement learning (ERL), which integrates the evolutionary algorithms (EAs) and reinforcement learning (RL) for optimization, has demonstrated remarkable performance ...

Abstract: With the increasing penetration of renewable energy and flexible loads in smart grids, a more complicated power system with high uncertainty is gradually formed, which brings about great ...

It is important for researchers to develop and implement methods to improve representation of participants from diverse backgrounds and to improve the accuracy of reporting study subject demographics.

Developed by the American Heart Association, these Guidelines represent the first comprehensive update of education recommendations since 2020. Incorporating the results of structured evidence reviews ...

LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...

Tetralogy of Fallot is the most common cyanotic congenital heart disease and requires surgical repair. Strategy and timing/type of intervention is variable and depends on clinical symptomatology and ...