Code for the paper 'Observation Strategy Optimization for Distributed Telescope Arrays With Deep Reinforcement Learning'
贾鹏
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
Identifiers
CSTR:
11379.19.101240
DOI:
10.12149/101240
VO Identifier:
ivo://China-VO/paperdata/AJ/2023jiapeng/101240
Publication Date:
2023-04-13
Citation Guidelines
贾鹏 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 = {贾鹏},
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 = {贾鹏},
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