Obtaining Human Experience for Intelligent Dredger Control: A Reinforcement Learning Approach

Obtaining Human Experience for Intelligent Dredger Control: A Reinforcement Learning Approach

This work presents a reinforcement learning approach for intelligent decision-making of a Cutter Suction Dredger (CSD), which is a special type of vessel for deepening harbors, constructing ports or navigational channels, and reclaiming landfills. Currently, CSDs are usually controlled by human oper...

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Bibliographic Details
Main Authors: Changyun Wei, Fusheng Ni, Xiujing Chen
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Applied Sciences
Subjects:
reinforcement learning
cutter suction dredger
neural networks
uncertainty
Online Access:https://www.mdpi.com/2076-3417/9/9/1769

Internet

https://www.mdpi.com/2076-3417/9/9/1769

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