RL:DQ-RTS.

Lorenzo Canese1, Gian Carlo Cardarilli2, Luca Di Nunzio2

  • 1Department of Electronics, University of Rome Tor Vergata, 00133, Rome, Italy. canese@ing.uniroma2.it.

Scientific reports
|January 23, 2024
PubMed
概括

本文介绍了DQ-RTS,一个分散的多代理强化学习算法. 它在动态环境中提高了沟通和适应能力,在变化的代理人数量下显示了更快的融合和强大的性能.

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