Factual package intelligence from PyPI

multireward-grpo 0.1.0 package intelligence

Decoupled & conditioned multi-reward GRPO advantage estimators, a generalized trainer, and the Theorem-3 verification harness from the paper 'When and Why Decoupling and Conditioning Beat Reweighting

pip install multireward-grpo

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

multireward-grpo dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.24
  2. scipy >=1.10

The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

multireward-grpo publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for multireward-grpo 0.1.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

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 .