支持强化学习的设定点控制

Apr, 2023

Aiding reinforcement learning for set point control

Ruoqi Zhang, Per Mattsson, Torbjörn Wigren

TL;DR本文提出一种增强学习和反馈控制相结合的方法，其中反馈控制可以改善系统激发问题并提高收敛速度，这对于实现快速和准确的现实控制非常重要。作者在模拟和双水箱实验中评估了该方法并获得了有希望的结果。

Abstract

While reinforcement learning has made great improvements, state-of-the-art algorithms can still struggle with seemingly simple set-point feedback control problems. One reason for this is that the learned controll