A reinforcement learning‐based approach for modeling and coverage of an unknown field using a team of autonomous ground vehicles-Reference-Cited by-同舟云学术

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A reinforcement learning‐based approach for modeling and coverage of an unknown field using a team of autonomous ground vehicles

Published:2020-11-10 Issue:2 Volume:36 Page:1069-1084
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Faryadi Saba¹^ORCID,Mohammadpour Velni Javad¹^ORCID

Affiliation:

1. School of Electrical & Computer Engineering University of Georgia Athens Georgia USA

Funder

Division of Integrative Organismal Systems

National Institute of Food and Agriculture

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22331

Reference29 articles.

1. Machine Learning in Agriculture: A Review

2. YangE GuD. Multiagent reinforcement learning for multi‐robot systems: A survey. Tech. rep;2004.

3. Farm Workers of the Future: Vision-Based Robotics for Broad-Acre Agriculture

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