Factual package intelligence from PyPI
Implementation of DiscoRL, Discovering state-of-the-art reinforcement learning algorithms
pip install disco-rl-pytorch
PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.0.4>=0.8.1>=0.3.0>=0.7.9>=0.1.2>=2.5disco-rl-pytorch publishes 1 wheel and 1 source archive for version 0.0.5. Wheel platform tags: any.
Declared Python classifiers: 3.10.
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.
PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .