Factual package intelligence from PyPI

rldog 0.1.0 package intelligence

Core 4 Reinforcement learning algorithms, implemented with very high quality code (think type hints, tests, pep8 etc). Very easy to use with gym or gym-like environments

pip install rldog

Current version
0.1.0
Python requirement
>=3.10,<4.0
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
43.1 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

rldog dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch ==1.13.1
  2. numpy ==1.23.5
  3. gym ==0.26.2
  4. matplotlib >=3.6.2,<4.0.0
  5. rich >=13.0.0,<14.0.0
  6. pytest >=7.2.0,<8.0.0

Compatibility and release files

rldog publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .

The project does not publish external project URLs in its PyPI metadata.