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Issue #140: Renaming, documentation, and data refactor
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name: Documentation | ||
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on: | ||
push: | ||
branches: | ||
- refactor/v1_0_0 | ||
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# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages | ||
permissions: | ||
contents: write | ||
pages: write | ||
id-token: write | ||
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jobs: | ||
build: | ||
runs-on: ubuntu-latest | ||
steps: | ||
- uses: pandoc/actions/setup@main | ||
- uses: actions/checkout@v3 | ||
- uses: actions/setup-python@v3 | ||
with: | ||
python-version: '3.10' | ||
- name: Mock Basilisk | ||
run: | | ||
cp docs/sitecustomize.py $(python -c 'import site; print(site.getsitepackages()[0])')/sitecustomize.py | ||
- name: Install dependencies | ||
run: | | ||
pip install -e '.[docs,rllib]' | ||
# skip finish install steps | ||
- name: Sphinx build | ||
run: | | ||
cd docs | ||
make html | ||
cd .. | ||
- name: Deploy | ||
uses: peaceiris/actions-gh-pages@v3 | ||
with: | ||
github_token: ${{ secrets.GITHUB_TOKEN }} | ||
publish_dir: ./docs/build/html | ||
force_orphan: true | ||
publish_branch: gh-pages-refactor | ||
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[settings] | ||
profile=black | ||
profile=black |
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ignore-init-module-imports = true | ||
extend-include = ["*.ipynb"] |
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# BSK-RL: Environments and Algorithms for Spacecraft Planning and Scheduling | ||
[BSK-RL](https://avslab.github.io/bsk_rl/) ([Basilisk](https://hanspeterschaub.info/basilisk) + [Reinforcement Learning](https://en.wikipedia.org/wiki/Reinforcement_learning)) is a Python package for constructing [Gymnasium](https://gymnasium.farama.org/index.html) environments for spacecraft tasking problems. It is built on top of [Basilisk](https://hanspeterschaub.info/basilisk), a modular and fast spacecraft simulation framework, making the simulation environments high-fidelity and computationally efficient. BSK-RL also includes a collection of agents, training scripts, and examples for working with these environments. | ||
# BSK-RL: Environments for Spacecraft Planning and Scheduling | ||
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<img align="right" src="./docs/source/_images/static/bsk_rl-logo.png" width=180px> | ||
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[BSK-RL](https://avslab.github.io/bsk_rl/) ([Basilisk](https://hanspeterschaub.info/basilisk) + [Reinforcement Learning](https://en.wikipedia.org/wiki/Reinforcement_learning)) is a Python package for constructing [Gymnasium](https://gymnasium.farama.org/index.html) environments for spacecraft tasking problems. It is built on top of [Basilisk](https://hanspeterschaub.info/basilisk), a modular and fast spacecraft simulation framework, making the simulation environments high-fidelity and computationally efficient. | ||
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### Usage | ||
Installation instructions, examples, and documentation can be found on the [BSK-RL website](https://avslab.github.io/bsk_rl/). | ||
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### Acknowledgment | ||
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BSK-RL is developed by the [Autonomous Vehicle Systems (AVS) Lab](https://hanspeterschaub.info/AVSlab.html) at the University of Colorado Boulder. | ||
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## Usage | ||
Installation instructions, examples, and documentation can be found on the [BSK-RL website](https://avslab.github.io/bsk_rl/) (under construction). |
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This directory includes executed copies of example notebooks so that they do not have to | ||
run on GitHub actions. To generate these, build the docs locally by running `make html` | ||
from the `docs` directory. |
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