This book presents recent research in decision making under
uncertainty, in particular reinforcement learning and learning with
expert advice. The core elements of decision theory, Markov
decision processes and reinforcement learning have not been
previously collected in a concise volume. Our aim with this book
was to provide a solid theoretical foundation with elementary
proofs of the most important theorems in the field, all collected
in one place, and not typically found in introductory
textbooks. This book is addressed to graduate students that
are interested in statistical decision making under uncertainty and
the foundations of reinforcement learning. Â
General
| Imprint: |
Springer International Publishing AG
|
| Country of origin: |
Switzerland |
| Series: |
Intelligent Systems Reference Library, 223 |
| Release date: |
August 2023 |
| First published: |
2022 |
| Authors: |
Christos Dimitrakakis
• Ronald Ortner
|
| Dimensions: |
235 x 155mm (L x W) |
| Format: |
Paperback
|
| Pages: |
180 |
| Edition: |
1st ed. 2022 |
| ISBN-13: |
978-3-03-110892-1 |
| Categories: |
Books
Promotions
|
| LSN: |
3-03-110892-2 |
| Barcode: |
9783031108921 |
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
