Deep Learning and Reinforcement Learning Summer School, Toronto 2018

Introduction to RL and TD

author: Richard S. Sutton, Department of Computing Science, University of Alberta
published: Oct. 11, 2018, recorded: August 2018, views: 7472

Related Open Educational Resources

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.

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:

1 Danny Sk, August 22, 2020 at 10:26 a.m.:

Really liked the lecture. He is an awesome professor. https://scrabblewordfinder.vip/

2 Edward1990, September 1, 2021 at 4:26 p.m.:

Hello! Thank you for this lecture, it was really informative, and I don't regret that I had spent my time watching it. I would like to see more discussion of the tools used to record the expert actions in parallel with the policy decisions. Can they be prerecorded or do they need to be provided in real-time with the simulation? Real-time will work for a driver in a live car, but won't work for 32 simultaneous simulations of an Atari game with one expert.
https://customessayorder.com/write-es...

Write your own review or comment:

Comment:
Name:
Email address:
URL:

make sure you have javascript enabled or clear this field: