Ann and H.J. Smead Department of Aerospace Engineering Sciences (CU Smead AES)
BSK-RL: Environments for Spacecraft Planning and Scheduling
softwarelibrary / toolIndustry: Aerospace
- Category
- Data & Digital Tools
- Affiliations
- CU Smead AES
Description
Python package (Basilisk + reinforcement learning) for building Gymnasium environments for spacecraft tasking problems on top of the Basilisk simulator; developed by the AVS Lab at CU Boulder.
Official page
https://github.com/AVSLab/bsk_rl
Open official page (opens in a new tab)Access
- Download or access
- install instructions / git clone
Contact
- General contact
- GitHub issues / repository owner account
Details
- Keywords
- reinforcement learning, gymnasium environments, spacecraft autonomy, satellite tasking, earth observation, avs lab
- Location
- Boulder, Colorado
- Language
- Python
- Software license
- MIT
- Associated entity
- GitHub org account: AVSLab
- Repository
- https://github.com/AVSLab/bsk_rl
- Language
- mentioned in README: Python
- License
- MIT License