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Mark2000 committed May 30, 2024
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# BSK-RL: Environments for Spacecraft Planning and Scheduling

<img align="left" src="./docs/source/_images/static/bsk_rl-logo.png" width=180px style="margin:10px;">
<img align="right" src="./docs/source/_images/static/bsk_rl-logo.png" width=180px>


[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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