Methods › Reinforcement Learning › Reinforcement Learning Frameworks › MushroomRL
MushroomRL
Introduced by Carlo D'Eramo et al. in MushroomRL: Simplifying Reinforcement Learning Research
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
MushroomRL is an open-source Python library developed to simplify the process of implementing and running Reinforcement Learning (RL) experiments. The architecture of MushroomRL is built in such a way that every component of an RL problem is already provided, and most of the time users can only focus on the implementation of their own algorithms and experiments. MushroomRL comes with a strongly modular architecture that makes it easy to understand how each component is structured and how it interacts with other ones; moreover it provides an exhaustive list of RL methodologies, such as:
Papers archive 2025-07-28
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MushroomRL: Simplifying Reinforcement Learning Research 4 Jan 2020 · 2 repositories · arXiv:2001.01102
Tasks archive 2025-07-28
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Usage over time archive 2025-07-28
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Categories archive 2025-07-28
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