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Practical Reinforcement Learning

总览常见问题解答制作方价格

主页数据科学机器学习

Practical Reinforcement Learning

国立高等经济大学

关于此课程: Welcome to the Reinforcement Learning course. Here you will find out about: - foundations of RL methods: value/policy iteration, q-learning, policy gradient, etc. --- with math & batteries included - using deep neural networks for RL tasks --- also known as "the hype train" - state of the art RL algorithms --- and how to apply duct tape to them for practical problems. - and, of course, teaching your neural network to play games --- because that's what everyone thinks RL is about. We'll also use it for seq2seq and contextual bandits. Jump in. It's gonna be fun!

此课程适用人群: The course is designed for engineers and scientists, (1) who already know the basics of machine learning and want to broaden their horizons (2) who plan to apply reinforcement learning to their problems, or (3) who want to understand the methods and details standing behind the breaking AI news.


制作方:  国立高等经济大学
国立高等经济大学

  • Pavel Shvechikov

    教学方:  Pavel Shvechikov, Researcher at HSE and Sberbank AI Lab

    HSE Faculty of Computer Science

  • Alexander Panin

    教学方:  Alexander Panin, Lecturer

    HSE Faculty of Computer Science
基本信息
课程 5(共 7 门,Advanced Machine Learning Specialization )
级别Advanced
承诺学习时间6 weeks of study, 3-6 hours/week for base track, 6-9 with all the horrors of honors section
语言
English
如何通过通过所有计分作业以完成课程。
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制作方
国立高等经济大学
National Research University - Higher School of Economics (HSE) is one of the top research universities in Russia. Established in 1992 to promote new research and teaching in economics and related disciplines, it now offers programs at all levels of university education across an extraordinary range of fields of study including business, sociology, cultural studies, philosophy, political science, international relations, law, Asian studies, media and communications, IT, mathematics, engineering, and more. Learn more on www.hse.ru
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