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【强化学习】多伦多大学CSC2547：强化学习导论课程(2021) by Amir-massoud Farahmand

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2021-03-30 10:55:46

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https://www.youtube.com/playlist?list=PLCveiXxL2xNbiDq51a8iJwPRq2aO0ykrq 强化学习简介（CSC2547-2021年春季），多伦多大学计算机科学系。讲师：Amir-massoud Farahmand 笔记：https://amfarahmand.github.io/IntroRL/

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众多AI领域优秀的学者及公司分享最前沿的研究成果，并与学者对相关学术议题进行交流探讨，促进研究方向的交叉融合。

Lecture 01 - Introduction

02:23:24

Lecture 02 - Structural Properties of MDPs (Part 1 )

01:37:39

Lecture 02 - Structural Properties of MDPs (Part 2)

01:45:29

Lecture 03 - Planning with a Known Model

02:00:50

Lecture 04 - Learning from a Stream of Data (Part 1)

02:37:17

Lecture 04 - Learning from a Stream of Data (Part 2)

01:07:58

Lecture 05 - Value Function Approximation (Part 1)

32:49

Lecture 05 - Value Function Approximation (Part 2)

01:44:35

Lecture 05 - Value Function Approximation (Part 3)

01:51:55

Lecture 05 - Value Function Approximation(Part 4)

02:14:26

Lecture 06 - Policy Search Methods) (Part 1)

01:54:08

Lecture 06 - Policy Search Methods) (Part 2)

02:03:48

Lecture 07 - Model-based RL & Decision-Aware Model Learning

01:49:48

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