强化学习：迈向知行合一的智能机制与算法

doi:10.11959/j.issn.2096-6652.202011

Abstract

Abstract:

This article discusses briefly the history,the state of the art and the future of reinforcement learning,and outlines a roadmap of evolution from learning by doing,doing with planning to parallel intelligence that combining learning virtually in artificial systems and acting accordingly in actual systems.

Key words: reinforcement learning, dynamic programming, deep learning, parallel learning, artificial intelligence

CLC Number:

TP301

Fei-Yue WANG,Dongpu CAO,Qinglai WEI. Reinforcement learning:toward action-knowledge merged intelligent mechanisms and algorithms[J]. Chinese Journal of Intelligent Science and Technology, 2020, 2(2): 101-106.

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References 8

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Reinforcement learning:toward action-knowledge merged intelligent mechanisms and algorithms

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