Deep deterministic policy gradient algorithm based on dung beetle optimization and priority experience replay mechanism

Reinforcement learning algorithms that handle continuous action spaces have the problem of slow convergence and local optimality. Hence, we propose a deep deterministic policy gradient algorithm based on the dung beetle optimization algorithm (DBOP–DDPG) and priority experience replay mechanism. Thi...

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Vydané v:	Scientific reports Ročník 15; číslo 1; s. 13978 - 14
Hlavní autori:	Zhu, Hengwei, Rong, Chuiting, Liu, Haorui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 22.04.2025 Nature Portfolio
Predmet:	639/705/117 639/705/258 Humanities and Social Sciences multidisciplinary Science Science (multidisciplinary)
ISSN:	2045-2322, 2045-2322
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