Tiny tabular Q-learning helper for Gym environments
Project description
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:
numpyandgymnasium.
Quick start
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)"
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