Autonomous boat driving system using sample‐efficient model predictive control‐based reinforcement learning approach-Reference-Cited by-同舟云学术

Autonomous boat driving system using sample‐efficient model predictive control‐based reinforcement learning approach

Published:2020-09-25 Issue:3 Volume:38 Page:331-354
ISSN:1556-4959
Container-title:Journal of Field Robotics
language:en
Short-container-title:J Field Robotics

Author:

Cui Yunduan¹²³^ORCID,Osaki Shigeki⁴,Matsubara Takamitsu¹

Affiliation:

1. Division of Information Science Graduate School of Science and Technology, Nara Institute of Science and Technology Nara Japan

2. Center for Automotive Electronics Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences Shenzhen China

3. SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China

4. Furuno Electric Co., Ltd. Nishinomiya City Japan

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rob.21990

Reference42 articles.

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4. Candela J. Q. Girard A. Larsen J. &Rasmussen C. E.(2003). Propagation of uncertainty in bayesian kernel models‐application to multiple‐step ahead forecasting.Proceedings of 2003 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP 2003). IEEE volume 2 II‐701.

5. Gaussian Process Model Predictive Control of an Unmanned Quadrotor

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