Deep Reinforcement Learning: A Textbook
Overview & Synopsis
This book describes the foundations, the algorithms and the applications of deep reinforcement learning, covers the established model-free and model-based methods that form the basis of the field. The programming language of this book is Python.
Indexed from repository: FreeComputerBooks.com
(
freecomputerbooks.com)
Keyboard Shortcuts:
← / → for pages • + / - for zoom • 0 to fit width
Powered by Mozilla PDF.js v3.11
Document Information
| Document Title | Deep Reinforcement Learning: A Textbook |
|---|---|
| Author / Organization | Aske Plaat |
| Subject & Discipline | Depp Learning, Reinforcement Learning, Machine Learning, Statistics, Mathematical Statistics, etc., Probability and Stochastic Processe |
| Categories | Depp Learning |
| Publication Year | 2022 |
| ISBN | 9811906378 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | Access Restricted / Protected Host |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-92587 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
Commercial / Print Edition
Prefer a Physical Book or Kindle Edition?
Deep Reinforcement Learning: A Textbook • Print Edition
As an Amazon Associate, MainReads earns from qualifying purchases.