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Intro to Reinforcement Learning (强化学习纲要)

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Intro to Reinforcement Learning (强化学习纲要)

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Overview

This short course will introduce basic concepts of reinforcement learning in a nutshell. Slides will be made in English and lectures will be given by Bolei in Chinese. The course is for entertainment only.

Course Schedule

The short course will be arranged as follows. Lectures 1-8 will be the foundation, the others will be the advanced topics, which are optional.

Topic Resources
Lecture 1 Overview slide, youtube1, youtube2, B站1, B站2
Lecture 2 Markov Decision Process slide, youtube1, youtube2, B站1, B站2
Lecture 3 Model-free Prediction and Control slide, youtube1, youtube2 B站1, B站2
Lecture 4 Value Function Approximation
Lecture 5 Policy Optimization: Basics
Lecture 6 Policy Optimization: State of the art
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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