论文标题
Mushroomrl：简化加固学习研究
MushroomRL: Simplifying Reinforcement Learning Research
论文作者
论文摘要
Mushroomrl是一个开源的Python库，旨在简化实施和运行强化学习（RL）实验的过程。与其他可用库相比，已经创建了Mushroomrl，目的是提供一个全面而灵活的框架，以最大程度地减少实施和测试新型RL方法的努力。实际上，Mushroomrl的体系结构的构建方式是可以提供RL问题的每个组件，并且大多数时间用户只能专注于实现自己的算法和实验。结果是一个库，RL研究人员可以在其作品的经验分析的关键阶段显着受益。可以在https://github.com/mushroomrl/mushroom-rl上找到Mushroomrl稳定的代码，教程和文档。
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.
