Deep Reinforcement Learning-Based Multi-Agent System with Advanced Actor–Critic Framework for Complex Environment

Deep Reinforcement Learning-Based Multi-Agent System with Advanced Actor–Critic Framework for Complex Environment

The development of artificial intelligence (AI) game agents that use deep reinforcement learning (DRL) algorithms to process visual information for decision-making has emerged as a key research focus in both academia and industry. However, previous game agents have struggled to execute multiple comm...

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Bibliographic Details
Main Authors: Zihao Cui, Kailian Deng, Hongtao Zhang, Zhongyi Zha, Sayed Jobaer
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Mathematics
Subjects:
deep reinforcement learning
convolution neural network
partially observable Markov decision process
multi-agent system
Online Access:https://www.mdpi.com/2227-7390/13/5/754
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