Metadata-Version: 2.4
Name: atari-reinforcement-learning
Version: 1.0.4
Summary: A streamlined setup for training and evaluating reinforcement learning agents on Atari 2600 games.
Author-email: DanielAtCosmicDNA <daniel@cosmicdna.co.uk>
License-Expression: MIT
Project-URL: Homepage, https://github.com/CosmicDNA/atari-reinforcement-learning
Project-URL: Repository, https://github.com/CosmicDNA/atari-reinforcement-learning
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Requires-Dist: gym==0.26.2
Requires-Dist: ale-py==0.10.2
Requires-Dist: gymnasium[atari]
Requires-Dist: rl-zoo3
Requires-Dist: torch
Requires-Dist: opencv-python
Requires-Dist: tqdm
Requires-Dist: vtracer
Provides-Extra: dev
Requires-Dist: pre-commit>=3.7.0; extra == "dev"
Requires-Dist: ruff; extra == "dev"
Requires-Dist: mypy; extra == "dev"
Requires-Dist: build; extra == "dev"
Requires-Dist: bumpversion; extra == "dev"
Requires-Dist: twine; extra == "dev"
