BriefGPT.xyz
Feb, 2020
通过行为持久性在批强化学习中控制频率自适应
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning
HTML
PDF
Alberto Maria Metelli, Flavio Mazzolini, Lorenzo Bisi, Luca Sabbioni, Marcello Restelli
TL;DR
本文介绍了一种基于动作重复的新算法 PFQI，旨在增强强化学习算法的性能，在理论上和实验中得到验证。
Abstract
The choice of the
control frequency
of a system has a relevant impact on the ability of
reinforcement learning
algorithms to learn a highly performing policy. In this paper, we introduce the notion of
→