Deep Reinforcement Learning with Phasic Policy Gradient with Sample Reuse
Purposes The algoritihm of phasic policy gradient with sample reuse (SR-PPG) is proposed to address the problems of non-reuse of samples and low sample utilization in policybased deep reinforcement learning algorithms. Methods In the proposed algorithm, offline data are introduced on the basis of th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Editorial Office of Journal of Taiyuan University of Technology
2024-07-01
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| Series: | Taiyuan Ligong Daxue xuebao |
| Subjects: | |
| Online Access: | https://tyutjournal.tyut.edu.cn/englishpaper/show-2319.html |