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Intro to Reinforcement Learning (强化学习纲要)

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teaser

Overview

This short RL course introduces the basic concepts of reinforcement learning in a nutshell. Slides are made in English and lectures are given by Bolei in Chinese. The course is for personal entertainment only.

Course Schedule

The short course is scheduled as follows. Lectures 1-7 will be the foundation, the others will be the advanced topics, which are optional.

Topic Resources
Lecture 1 Overview slide, Youtube(part1, part2), B站(上集, 下集)
Lecture 2 Markov Decision Process slide, Youtube(part1, part2), B站(上集, 下集)
Lecture 3 Model-free Prediction and Control slide, Youtube(part1, part2), B站(上集, 下集)
Lecture 4 Value Function Approximation slide, Youtube(part1, part2), B站(上集, 下集)
Lecture 5 Policy Optimization: Foundation slide, Youtube(part1, part2), B站(上集, 下集)
Lecture 6 Policy Optimization: State of the art slide, Youtube(part1, part2), B站(上集, 下集)
Lecture 7 Model-based RL
Lecture 8 Imitation Learning
Lecture 9 Distributed computing and RL system design
Lecture 10 Case Study on AlphaGo Series

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Intro to Reinforcement Learning (强化学习纲要)

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