A General Approach for the Automation of Hydraulic Excavator Arms Using Reinforcement Learning-Reference-Cited by-同舟云学术

A General Approach for the Automation of Hydraulic Excavator Arms Using Reinforcement Learning

Published:2022-04 Issue:2 Volume:7 Page:5679-5686
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Egli Pascal¹^ORCID,Hutter Marco¹^ORCID

Affiliation:

1. Robotic Systems Lab, ETH Zurich, Zürich, Switzerland

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

National Centre of Competence in Digital Fabrication

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9647862/09743573.pdf?arnumber=9743573

Reference17 articles.

1. Automation of wheel-loaders;dadhich,2018

2. Towards RL-Based Hydraulic Excavator Automation

3. Curriculum learning

4. Proximal policy optimization algorithms;schulman,2017

5. Trust region policy optimization;schulman;Proc Int Conf Mach Learn,0

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