Enhanced deep deterministic policy gradient algorithm

Enhanced deep deterministic policy gradient algorithm

With the problem of slow convergence for deep deterministic policy gradient algorithm,an enhanced deep deterministic policy gradient algorithm was proposed.Based on the deep deterministic policy gradient algorithm,two sample pools were constructed,and the time difference error was introduced.The pri...

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Bibliographic Details
Main Authors: Jianping CHEN, Chao HE, Quan LIU, Hongjie WU, Fuyuan HU, Qiming FU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2018-11-01
Series:Tongxin xuebao
Subjects:
deep reinforcement learning
sample ranking
bisimulation metric
temporal difference error
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018238/
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http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018238/

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