Skip to Main Content
Python Deep Learning - Second Edition
book

Python Deep Learning - Second Edition

by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
January 2019
Intermediate to advanced content levelIntermediate to advanced
386 pages
11h 13m
English
Packt Publishing
Content preview from Python Deep Learning - Second Edition

RL as a Markov decision process

A Markov decision process (MDP) is a mathematical framework for modeling decisions. We can use it to describe the RL problem. We'll assume that we work with a full knowledge of the environment. An MDP provides a formal definition of the properties we defined in the previous section (and adds some new ones):

  • is the finite set of all possible environment states, and st is the state at time t.
  • is the set of all possible actions, and at is the action at time t.
  • is the dynamics of the environment (also known ...
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

Python Deep Learning

Python Deep Learning

Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants

Publisher Resources

ISBN: 9781789348460Supplemental Content