hack121/introrl

Intro to Reinforcement Learning (强化学习纲要）

Intro to Reinforcement Learning (强化学习纲要）

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, video1, video2
Lecture 2	Markov Decision Process
Lecture 3	Model-free Prediction and Control
Lecture 4	On-policy and Off-policy Learning
Lecture 5	Value Function Approximation
Lecture 6	Policy Optimization: Basics
Lecture 7	Policy Optimization: State of the art
Lecture 8	Model-based RL
Lecture 9	Imitation Learning
Lecture 10	Distributed computing and RL system design
Lecture 11	Case Study on AlphaGo Series
Lecture 12	Case Study on AlphaStar and OpenAI Five
Lecture 13	Unsupervised Learning
Lecture 14	Generative Modeling
TBD	...