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Oct, 2021
使用对抗训练提高强化学习在电力系统控制中的鲁棒性
Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training
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Alexander Pan, Yongkyun, Lee, Huan Zhang, Yize Chen...
TL;DR
本文针对电网控制系统的弱点进行研究,发现现有的强化学习算法存在敏感性,容易受到恶意攻击,提出了一种基于对抗训练的解决方案,以增强算法的安全性和鲁棒性。
Abstract
Due to the proliferation of
renewable energy
and its intrinsic intermittency and stochasticity, current power systems face severe operational challenges. Data-driven decision-making algorithms from
reinforcement learnin
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