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Quantum Reinforcement Learning library: environments, policies and training loops with PennyLane.
pip install qrl-qai
PyPI declares 27 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==2.5.0<2.0,>=1.1<3.0,>=2.6<3.0,>=2.37<1.0,>=0.6<3.0,>=2.1<5.0,>=4.11==3.9.2<0.43,>=0.42<0.7,>=0.6The compact report shows 25 of 27 declarations. The interactive dependency graph loads the complete metadata.
qrl-qai publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.
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 .