Multi-Agent Reinforcement Learning-based consensus building for Large-Scale Group Decision Making

doi:10.1016/j.inffus.2025.103629

Multi-Agent Reinforcement Learning-based consensus building for Large-Scale Group Decision Making

2025-08-20

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DOI：10.1016/j.inffus.2025.103629

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• An MARL framework with MADQN is introduced for efficient LSGDM. • SNGDM CRP is modeled as an MMDP using MADQN. • Autonomous preference adjustments are enabled. • Decision iterations and preference adjustments are reduced. • Adaptability is enhanced via dynamic agent interactions.

Keywords:

Multi-Agent Reinforcement Learning

Multi-Agent Deep Q-Network

Load Scheduling in Grid-Connected Microgrids

Dynamic Preference Adjustment

Adaptive Decision-Making

Multi-Agent Reinforcement Learning-based consensus building for Large-Scale Group Decision Making

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