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/.
Release files for mushroom-rl 1.10.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| mushroom_rl-1.10.2.tar.gz | 1.6 MB | Details |
Release files / mushroom_rl-1.10.2.tar.gz
| Download URL | mushroom_rl-1.10.2.tar.gz |
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| Size | 1.6 MB |
| Tags | Source |
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twine/6.1.0 CPython/3.10.16
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