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