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动手学强化学习

欢迎来到《动手学强化学习》(Hands-on Reinforcement Learning)的地带。该系列从强化学习的定义等基础讲起,一步步由浅入深,介绍目前一些主流的强化学习算法。每一章内容都是一个Jupyter Notebook,内含详细的图文介绍和代码讲解。

  • 由于GitHub上渲染notebook效果有限,我们推荐读者前往Hands-on RL主页进行浏览,我们在此提供了纯代码版本的notebook,供大家下载运行。

  • 欢迎在京东当当网购买《动手学强化学习》。

  • 如果你发现了本书的任何问题,或者有任何改善建议的,欢迎填写问卷反馈给我们!

  • 本书配套的强化学习课程已上线到伯禹学习平台,所有人都可以免费学习和讨论。

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