Q-Learning Based Autonomous Control of the Auxiliary Power Network of a Ship

We present a reinforcement learning (RL) model that is based on Q-learning for the autonomous control of ship auxiliary power networks. The development and application of the proposed model is demonstrated using a case-study ship as the platform. The auxiliary power network of the ship is represente...

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Bibliographic Details
Main Authors: Janne Huotari, Antti Ritari, Risto Ojala, Jari Vepsalainen, Kari Tammi
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8871106/