Multi-Agent Hierarchical Graph Attention Actor–Critic Reinforcement Learning

Multi-Agent Hierarchical Graph Attention Actor–Critic Reinforcement Learning

Multi-agent systems often face challenges such as elevated communication demands, intricate interactions, and difficulties in transferability. To address the issues of complex information interaction and model scalability, we propose an innovative hierarchical graph attention actor–critic reinforcem...

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Bibliographic Details
Main Authors: Tongyue Li, Dianxi Shi, Songchang Jin, Zhen Wang, Huanhuan Yang, Yang Chen
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Entropy
Subjects:
hierarchical graph attention
multi-agent reinforcement learning
curriculum learning
Online Access:https://www.mdpi.com/1099-4300/27/1/4
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