mushroom-rl

Name	mushroom-rl JSON
Version	1.10.0.post2 JSON
	download
home_page	https://github.com/MushroomRL/mushroom-rl
Summary	A Python library for Reinforcement Learning experiments.
upload_time	2023-10-30 14:37:02
maintainer
docs_url	None
author	Carlo D'Eramo, Davide Tateo
requires_python
license	MIT
keywords
VCS
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requirements	numpy scipy scikit-learn matplotlib joblib tqdm pygame opencv-python torch pytest
Travis-CI	No Travis.
coveralls test coverage

            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/.
            

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