Deep Reinforcement Learning Agent for Negotiation in Multi-Agent Cooperative Distributed Predictive Control

Deep Reinforcement Learning Agent for Negotiation in Multi-Agent Cooperative Distributed Predictive Control

This paper proposes a novel solution for using deep neural networks with reinforcement learning as a valid option in negotiating distributed hierarchical controller agents. The proposed method is implemented in the upper layer of a hierarchical control architecture composed at its lowest levels by d...

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Bibliographic Details
Main Authors:	Oscar Aponte-Rengifo, Pastora Vega, Mario Francisco
Format:	Article
Language:	English
Published:	MDPI AG 2023-02-01
Series:	Applied Sciences
Subjects:	deep reinforcement learning distributed model predictive control multi-agent fuzzy logic
Online Access:	https://www.mdpi.com/2076-3417/13/4/2432

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