Metadata-Version: 2.1
Name: mushroom-rl
Version: 1.5.1
Summary: A Python toolkit for Reinforcement Learning experiments.
Home-page: https://github.com/MushroomRL/mushroom-rl
Author: Carlo D'Eramo, Davide Tateo
Author-email: carlo.deramo@gmail.com
License: MIT
Description: Mushroom is a Python Reinforcement Learning (RL) library whose modularity allows to easily use well-known Python libraries for tensor computation (e.g. PyTorch, Tensorflow) and RL benchmarks (e.g. OpenAI Gym, PyBullet, Deepmind Control Suite). It allows to perform RL experiments in a simple way providing classical RL algorithms (e.g. Q-Learning, SARSA, FQI), and deep RL algorithms (e.g. DQN, DDPG, SAC, TD3, TRPO, PPO). Full documentation available at http://mushroomrl.readthedocs.io/en/latest/.
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Provides-Extra: all
Provides-Extra: atari
Provides-Extra: box2d
Provides-Extra: bullet
Provides-Extra: gym
Provides-Extra: mujoco
Provides-Extra: plots
