Off-Policy Learning

author: Martha White, Department of Computing Science, University of Alberta
published: Oct. 19, 2018,   recorded: August 2018,   views: 2047

Related Open Educational Resources

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.

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 rushessay, July 7, 2022 at 11:14 a.m.:

This makes deep learning an ideal tool for applications such as facial recognition, speech recognition, and machine translation. Overall, off-policy learning is becoming an increasingly important tool for the creative industries. It is able to process vast amounts of data quickly and accurately, making it ideal for tasks such as facial recognition and translation.

Write your own review or comment:

make sure you have javascript enabled or clear this field: