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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/4/2432 |