Active object tracking of free floating space manipulators based on deep reinforcement learning-Reference-Cited by-同舟云学术

Active object tracking of free floating space manipulators based on deep reinforcement learning

Published:2022-12 Issue:11 Volume:70 Page:3506-3519
ISSN:0273-1177
Container-title:Advances in Space Research
language:en
Short-container-title:Advances in Space Research

Author:

Lei Wenxiao,Fu Hao,Sun Guanghui

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference37 articles.

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4. Deutsch, B., Niemann, H., Denzler, J., 2005. Multi-step active object tracking with entropy based optimal actions using the sequential kalman filter. In: IEEE International Conference on Image Processing 2005. vol. 3. IEEE. pp. III–105.

5. Finn, C., Levine, S., Abbeel, P., 2016. Guided cost learning: Deep inverse optimal control via policy optimization. In: International Conference on Machine Learning. PMLR. pp. 49–58.

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