Reinforcement Learning Frameworks


Introduced by D'Eramo et al. in MushroomRL: Simplifying Reinforcement Learning Research

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:

Source: MushroomRL: Simplifying Reinforcement Learning Research


Paper Code Results Date Stars


Task Papers Share
Reinforcement Learning (RL) 1 100.00%


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