Factual package intelligence from PyPI

moss-rl 0.0.5 package intelligence

A Python library for Reinforcement Learning.

pip install moss-rl

Current version
0.0.5
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
128.0 KiB
Release history
5 releases with files
Median release cadence
68 days

moss-rl dependencies

PyPI declares 34 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. absl-py
  2. envpool
  3. dm-env
  4. dm-tree
  5. numpy
  6. pillow
  7. pygame
  8. tensorboardX
  9. tqdm
  10. typing-extensions
  11. jax ==0.4.9
  12. jaxlib ==0.4.9
  13. dm-haiku ==0.0.10
  14. chex
  15. flax
  16. optax
  17. rlax
  18. tensorflow ==2.8.1

The compact report shows 18 of 34 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

moss-rl publishes 1 wheel and 1 source archive for version 0.0.5. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.8, 3.9.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .