This release is a pre-release and may not be stable for production use.
⚡ SheepRL 🐑
An easy-to-use framework for reinforcement learning in PyTorch, accelerated with Lightning Fabric.
Please have a look at the GitHub README for more information.
Contacts
You can contact us for any further questions or discussions:
- Federico Belotti: federico.belotti@orobix.com
- Davide Angioni: davide.angioni@orobix.com
- Refik Can Malli: refikcan.malli@orobix.com
- Michele Milesi: michele.milesi@orobix.com
3 maintainers
Metadata
3 maintainers
Release files for sheeprl 1.0.0rc4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sheeprl-1.0.0rc4.tar.gz | 306.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sheeprl-1.0.0rc4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 699.5 kB
Release files / sheeprl-1.0.0rc4.tar.gz
| Download URL | sheeprl-1.0.0rc4.tar.gz |
|---|---|
| Size | 306.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Transparency logRelease files / sheeprl-1.0.0rc4-py3-none-any.whl
| Download URL | sheeprl-1.0.0rc4-py3-none-any.whl |
|---|---|
| Size | 393.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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