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

A sample power system was modeled using MATLAB Simulink and all six types of faults were introduced into the transmission line of the power system. An ML classifier using 8 types model was implemen… ...

Abstract: Reinforcement learning (RL) is considered a powerful technology with the potential to revolutionize quantum control. However, the application effectiveness of traditional RL is often limited ...

Developing autonomous LLM agents capable of making a series of intelligent decisioiins to solve complex, real-world tasks is a fast-evolving frontier. Merely relying on human demonstration for ...