Code for the paper 'Observation Strategy Optimization for Distributed Telescope Arrays With Deep Reinforcement Learning'
Peng Jia
This is the source code for the paper 'Observation Strategy Optimization for Distributed Telescope Arrays With Deep Reinforcement Learning', which has been accepted by the AJ.
Files
demo.zip
8.32 MB
Paper Information
Paper Title:
Observation Strategy Optimization for Distributed Telescope Arrays With Deep Reinforcement Learning
Publication:
AJ
Identifier
DOI:
10.12149/101240
VO Identifier:
ivo://China-VO/paperdata/AJ/2023jiapeng/101240
Publication date:
2023-04-13
Citation Guidelines
Peng Jia et al. 2023. Code for the paper 'Observation Strategy Optimization for Distributed Telescope Arrays With Deep Reinforcement Learning'. Version 1.0. https://doi.org/10.12149/101240
@misc{10.12149/101240,
doi = {10.12149/101240},
url = {https://doi.org/10.12149/101240},
author = {Peng Jia},
title = {Code for the paper 'Observation Strategy Optimization for Distributed Telescope Arrays With Deep Reinforcement Learning'},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2023}
}
doi = {10.12149/101240},
url = {https://doi.org/10.12149/101240},
author = {Peng Jia},
title = {Code for the paper 'Observation Strategy Optimization for Distributed Telescope Arrays With Deep Reinforcement Learning'},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2023}
}
Versions
Main
This DOI represents all versions, and will always resolve to the latest one.
2023-04-13