Deep Reinforcement Learning Methods for Suppressing Horizontal Sway of Construction Cranes in Virtual Physical Environment-Reference-Cited by-同舟云学术

Deep Reinforcement Learning Methods for Suppressing Horizontal Sway of Construction Cranes in Virtual Physical Environment

Published:2022-07-08 Issue:2 Volume:1 Page:19-24
ISSN:2800-0552
Container-title:Journal of Construction Automation and Robotics
language:en
Short-container-title:Journal of Construction Automation and Robotics

Author:

Kim In Won¹,Kim Nam Kyoun²,Jung Min Hyuk³,Ahn Chang Bum⁴,Park Moon Seo⁴

Affiliation:

1. Master’s Student, Department of Architecture and Architectural Engineering, Seoul National University

2. Ph. D. Student, Department of Architecture and Architectural Engineering, Seoul National University

3. Research Professor, Department of Architecture and Architectural Engineering, Seoul National University

4. Professor, Department of Architecture and Architectural Engineering, Seoul National University

Publisher

Korean Society of Automation and Robotics in Construction

Link

https://www.jcar.or.kr/articles/pdf/doi/10.55785/JCAR.1.2.19.pdf

Reference20 articles.

1. Reinforcement Learning, Fast and Slow

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3. Dosovitskiy, A., Ros, G., Codevilla, F., Lopez, A., and Koltun, V. (2017). CARLA: An open urban driving simulator. In Conference on Robot Learning, (pp. 1-16), PMLR.

4. Effectiveness Analysis from a Cognitive Perspective for a Real-Time Safety Assistance System for Mobile Crane Lifting Operations

5. Ho, J., and Ermon, S. (2016). Generative adversarial imitation learning. Advances in Neural Information Processing Systems, 29.