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Reinforcement learning made easy with prebuilt agents, Gym integration, and performance visualization.
pip install relab
PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==0.6.0==2.18.0==2.36.0==10.4.0==2.2.3==0.13.2==3.9.2==0.20.1==2.2.0==6.1.1==2.2.1==1.1.1relab publishes 1 wheel and 1 source archive for version 0.5.3. Wheel platform tags: manylinux_2_39_x86_64.
No version-specific Python classifiers are declared.
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 .