Metadata-Version: 2.0
Name: mushroom-rl
Version: 1.3.0
Summary: A Python toolkit for Reinforcement Learning experiments.
Home-page: https://github.com/AIRLab-POLIMI/mushroom-rl
Author: Carlo D'Eramo
Author-email: carlo.deramo@gmail.com
License: MIT
Platform: UNKNOWN
Provides-Extra: gym
Provides-Extra: atari
Provides-Extra: box2d
Provides-Extra: bullet
Provides-Extra: mujoco
Provides-Extra: all
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: joblib
Requires-Dist: tqdm
Requires-Dist: pygame
Requires-Dist: opencv-python
Requires-Dist: torch
Requires-Dist: pytest
Provides-Extra: all
Requires-Dist: gym; extra == 'all'
Requires-Dist: atari-py (~=0.2.0); extra == 'all'
Requires-Dist: Pillow; extra == 'all'
Requires-Dist: opencv-python; extra == 'all'
Requires-Dist: box2d-py (~=2.3.5); extra == 'all'
Requires-Dist: pybullet; extra == 'all'
Provides-Extra: atari
Requires-Dist: atari-py (~=0.2.0); extra == 'atari'
Requires-Dist: Pillow; extra == 'atari'
Requires-Dist: opencv-python; extra == 'atari'
Provides-Extra: box2d
Requires-Dist: box2d-py (~=2.3.5); extra == 'box2d'
Provides-Extra: bullet
Requires-Dist: pybullet; extra == 'bullet'
Provides-Extra: gym
Requires-Dist: gym; extra == 'gym'
Provides-Extra: mujoco
Requires-Dist: mujoco-py; extra == 'mujoco'

Mushroom is a Python Reinforcement Learning (RL) librarywhose modularity allows to easily use well-known Pythonlibraries for tensor computation (e.g. PyTorch, Tensorflow)and RL benchmarks (e.g. OpenAI Gym, PyBullet, DeepmindControl Suite). It allows to perform RL experiments in asimple way providing classical RL algorithms(e.g. Q-Learning, SARSA, FQI), and deep RL algorithms(e.g. DQN, DDPG, SAC, TD3, TRPO, PPO). Full documentationavailable at http://mushroomrl.readthedocs.io/en/latest/.


