An Overview of Deep Reinforcement Learning

LiChun Cao, ZhiMin
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引用次数: 16

Abstract

As a new machine learning method, deep reinforcement learning has made important progress in various fields of people's production and life since it was proposed. However, there are still many difficulties in function design and other aspects. Therefore, further research on deep reinforcement learning is of great significance for promoting the progress of the whole science and society. Based on the basic theory of deep learning, this paper introduces the basic theory, research method, main network model and successful application in various fields of deep reinforcement learning.
深度强化学习概述
深度强化学习作为一种新的机器学习方法,自提出以来,在人们生产生活的各个领域都取得了重要的进展。但是在功能设计等方面还存在很多困难。因此,深入研究深度强化学习对于推动整个科学和社会的进步具有重要意义。本文以深度学习的基本理论为基础,介绍了深度强化学习的基本理论、研究方法、主要网络模型以及在各个领域的成功应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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