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...

Full description

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:
Online Access:https://www.mdpi.com/2076-3417/13/4/2432