QiMARL: Quantum-Inspired Multi-Agent Reinforcement Learning Strategy for Efficient Resource Energy Distribution in Nodal Power Stations

The coupling of quantum computing with multi-agent reinforcement learning (MARL) provides an exciting direction to tackle intricate decision-making tasks in high-dimensional spaces. This work introduces a new quantum-inspired multi-agent reinforcement learning (QiMARL) model, utilizing quantum paral...

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Prif Awduron:	Sapthak Mohajon Turjya, Anjan Bandyopadhyay, M. Shamim Kaiser, Kanad Ray
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	MDPI AG 2025-09-01
Cyfres:	AI
Pynciau:	energy distribution nodal power stations quantum computing MAB QiMARL
Mynediad Ar-lein:	https://www.mdpi.com/2673-2688/6/9/209
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!