Skip to main content

A Python library for Reinforcement Learning experiments.

Project description

MushroomRL 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/.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for mushroom-rl, version 1.6.0
Filename, size File type Python version Upload date Hashes
Filename, size mushroom-rl-1.6.0.tar.gz (20.6 MB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page