IEEE

Multi-Agent Reinforcement Learning Based on Dual Model Loss Prediction

Abstract: In recent years, Multi-Agent Reinforcement Learning (MARL) has made breakthrough progress, demonstrating superior collaborative capabilities over human experts in complex scenarios and ...
IEEE

Uncertainty-Aware Model-Based Multi-Agent Deep Reinforcement Learning for Robust Active ...

Abstract: The large-scale injection of new energy systems into active distribution networks (ADNs) has caused voltage violations, challenging the stable operation of power grids. Recently, deep ...