Factual package intelligence from PyPI

pdarl 0.1.2 package intelligence

A lightweight implementation of Policy Dual Averaging (PDA) for reinforcement learning in PyTorch.

pip install pdarl

Current version
0.1.2
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
2.8 MiB
Release history
2 releases with files
Median release cadence
1 days

pdarl dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. gymnasium >=1.0.0
  2. numpy >=1.24.0
  3. pytorch-optimizer >=3.0.0
  4. pyyaml >=6.0
  5. tensorboard >=2.0.0
  6. torch >=2.0.0

Compatibility and release files

pdarl publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .