Metadata-Version: 2.4
Name: rlmini
Version: 0.1.0
Summary: Tiny tabular Q-learning helper for Gym environments
Author-email: Your Name <you@example.com>
License: MIT
Project-URL: Homepage, https://example.org/rlmini
Project-URL: Source, https://example.org/rlmini
Keywords: reinforcement-learning,q-learning,gym,rl
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.21
Requires-Dist: gymnasium>=0.28
Dynamic: license-file

# rlmini — tiny reinforcement learning utilities

A minimal, well-documented Python package that implements a small tabular Q-learning helper suitable for Gym environments.

## Features
- `q_learning()` function: run tabular Q-learning with an OpenAI Gym-compatible environment.
- Small, dependency-light package: `numpy` and `gymnasium`.

## Quick start

```bash
python -m pip install rlmini
python -c "from rlmini import q_learning; import gymnasium as gym; env=gym.make('FrozenLake-v1', is_slippery=False); q_learning(env, episodes=500)"
```

