Suchergebnisse - "Multi-agent deep reinforcement learning algorithm"

A hybrid MARL clustering framework for real time open pit mine truck scheduling

Autoren: Xiaolei Xiang Wei Lin Danqi Li

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-23 (2025)

Schlagwörter: Multi-agent deep reinforcement learning algorithm, QMIX, Gaussian mixture model, Open-pit mining, Truck scheduling, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/f7ac25e2b3aa4d10b60e96df41633cce

Low-carbon economic dispatch strategy for integrated electrical and gas system with GCCP based on multi-agent deep reinforcement learning

Autoren: Wentao Feng Bingyan Deng Ziwen Zhang et al.

Quelle: Frontiers in Energy Research, Vol 12 (2024)

Schlagwörter: GCCP, 13. Climate action, integrated electrical and gas system, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, carbon emission, 02 engineering and technology, multi-agent deep reinforcement learning algorithm, low-carbon, 7. Clean energy, General Works, 12. Responsible consumption

Zugangs-URL: https://doaj.org/article/e2bfbac0d64f4f6eb72dfddab8d3ad7d