A Novel Multi-Agent Parallel-Critic Network Architecture for Cooperative-Competitive Reinforcement Learning

A Novel Multi-Agent Parallel-Critic Network Architecture for Cooperative-Competitive Reinforcement Learning

Multi-agent deep reinforcement learning (MDRL) is an emerging research hotspot and application direction in the field of machine learning and artificial intelligence. MDRL covers many algorithms, rules and frameworks, it is currently researched in swarm system, energy allocation optimization, stocki...

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Bibliographic Details
Main Authors: Yu Sun, Jun Lai, Lei Cao, Xiliang Chen, Zhixiong Xu, Yue Xu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Multi-agent system
deep reinforcement learning
parallel-critic architecture
training stability
Online Access:https://ieeexplore.ieee.org/document/9146854/

Internet

https://ieeexplore.ieee.org/document/9146854/

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