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An easy-to-read Reinforcement Learning (RL) framework. Provides standardized interfaces and implementations to various Reinforcement Learning methods and utilities.
pip install reinforcement-learning-framework
PyPI declares 18 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<2.0.0,>=1.26.3<3.21,>=3.20<0.30,>=0.29<3.0,>=2.2<5.0,>=4.66<0.20,>=0.19<3.0.0,>=2.33.0<2.0.0,>=1.0.3<2.0.0,>=1.14.1<2.0.0,>=1.1.6<2.0.0,>=1.24.3<2.0.0,>=1.0.0The compact report shows 12 of 18 declarations. The interactive dependency graph loads the complete metadata.
reinforcement-learning-framework publishes 1 wheel and 1 source archive for version 0.10.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.
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 44 releases with files. The first dated release is ; 29 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .