Multi-Agent Deep Deterministic Policy Gradient Algorithm Based on Classification Experience Replay

In recent years, multi-agent reinforcement learning has been applied in many fields, such as urban traffic control, autonomous UAV operations, etc. Although the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm has been used in various simulation environments as a classic reinforceme...

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Veröffentlicht in:	IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) (Online) S. 988 - 992
Hauptverfasser:	Sun, Xiaoying, Chen, Jinchao, Du, Chenglie, Zhan, Mengying
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 03.10.2022
Schlagworte:	classification experience replay Correlation deep reinforcement learning Gradient methods multi-agent systems Neural networks overfitting Reinforcement learning Time series analysis Traffic control Training
ISSN:	2689-6621
Online-Zugang:	Volltext
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