MushroomRL is an open-source Python library developed to simplify the process
of implementing and running Reinforcement Learning (RL) experiments. Compared
to other available libraries, MushroomRL has been created with the purpose of
providing a comprehensive and flexible framework to minimize the effort in
implementing and testing novel RL methodologies. Indeed, 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. The result is a library
from which RL researchers can significantly benefit in the critical phase of
the empirical analysis of their works. MushroomRL stable code, tutorials and
documentation can be found at https://github.com/MushroomRL/mushroom-rl.Comment: Under revision to JML