Factual package intelligence from PyPI
Random maze environments with different size and complexity for reinforcement learning and planning research. This is in-particular to investigate generalization and planning ability in dynamically ch
pip install maze-world
PyPI declares 44 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.28>=2.1.0The compact report shows 12 of 44 declarations. The interactive dependency graph loads the complete metadata.
maze-world publishes 1 wheel and 1 source archive for version 0.0.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.6, 3.7, 3.8, 3.9.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .