Factual package intelligence from PyPI
A minimalistic implementation of the Monte Carlo Tree Search algorithm for planning problems fomulated as gymnaisum reinforcement learning environments.
pip install gymcts
PyPI declares 28 unique dependency rules for this release. Environment markers are shown when supplied by the project.
The compact report shows 12 of 28 declarations. The interactive dependency graph loads the complete metadata.
gymcts publishes 1 wheel and 1 source archive for version 1.5.1. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 13 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .