BSK-RL: Environments for Spacecraft Planning and Scheduling
BSK-RL (Basilisk + Reinforcement Learning) is a Python package for constructing Gymnasium environments for spacecraft tasking problems. It is built on top of Basilisk, a modular and fast spacecraft simulation framework, making the simulation environments high-fidelity and computationally efficient.
Usage
Installation instructions, examples, and documentation can be found on the BSK-RL website.
Acknowledgment
BSK-RL is developed by the Autonomous Vehicle Systems (AVS) Lab at the University of Colorado Boulder.
2 maintainers
Metadata
2 maintainers
Release files for bsk-rl 1.3.4
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Source distribution (sdist)
| File | Size | Uploaded | |
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| bsk_rl-1.3.4.tar.gz | 7.1 MB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bsk_rl-1.3.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.4 MB
Release files / bsk_rl-1.3.4.tar.gz
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| Tags | Python 3 |
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