Introduction to Reinforcement Learning

author: Joelle Pineau, McGill University
published: Aug. 23, 2016,   recorded: August 2016,   views: 3186
Categories

Slides

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Bibliography

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Reviews and comments:

Comment1 Shawn Chu, September 5, 2016 at 2:33 p.m.:

Sometimes, the sound and picture can't keep synchronization.

The RL is really fantastic to me. As a student of management, I am thinking about the applications in sociology other than CS. That means, in game theory other than game playing.

The RL built a model between actions and rewards inner a sequence, other than actions from two players with initialization. In real human activities, the sequence is not apparent. After the match of Alpha Go, a lots debates about AI's actions are posted on the Web. Even no conclusion in certain, I really wish that those Machine learning approaches can be connected to human utility.


Comment2 Scott Otterson, January 15, 2017 at 9:24 p.m.:

A very clear lecture at the right level for someone new to RL.

But the website has some problems. The slides on the right hand side often became stuck, and the only way to resync them with the video was to refresh my browser. The video also froze dozens of times for me, and stayed frozen until I did a refresh.

Write your own review or comment:

make sure you have javascript enabled or clear this field: