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A reinforcement learning environment for simulating target-MDP environments (Airplane, Car, Process Control), with gymnasium and gymnax support
pip install target-gym
PyPI declares 25 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.0.9>=1.26.1>=1.16.0>=3.8.1>=1.2.0>=0.1.5>=0.6.2 when sys_platform == "darwin" and (platform_machine == "arm64" or platform_machine == "aarch64")>=0.6.2 when sys_platform != "darwin" or platform_machine != "arm64" and platform_machine != "aarch64">=2.2.1>=2.6.1The compact report shows 12 of 25 declarations. The interactive dependency graph loads the complete metadata.
target-gym publishes 1 wheel and 1 source archive for version 0.5.0. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12, 3.13.
PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .