Skip to Content
Reinforcement Learning with TensorFlow
book

Reinforcement Learning with TensorFlow

by Sayon Dutta
April 2018
Intermediate to advanced content levelIntermediate to advanced
334 pages
10h 18m
English
Packt Publishing
Content preview from Reinforcement Learning with TensorFlow

Temporal difference learning

Unlike in Monte Carlo learning where we do a full look ahead, here, in temporal difference learning, there is only one look ahead, that is, we observe only the next step in the episode:

Temporal difference learning is the one used for learning the value function in value and policy iteration methods and the Q-function in Q-learning.

If we want our AI agent to always choose an action that maximizes the discounted future rewards, then we need some sort of temporal difference learning. For that, we need to define a function Q that represents the maximum discounted future rewards when we take an action a at state ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Deep Learning with TensorFlow - Second Edition

Deep Learning with TensorFlow - Second Edition

Giancarlo Zaccone, Vihan Jain, Md. Rezaul Karim, Motaz Saad
Deep Learning with TensorFlow 2 and Keras - Second Edition

Deep Learning with TensorFlow 2 and Keras - Second Edition

Antonio Gulli, Dr. Amita Kapoor, Sujit Pal

Publisher Resources

ISBN: 9781788835725Supplemental Content