1st ed. 2016
Paperback (14 Jun 2016)
Includes delivery to the United States
10+ copies available online - Usually dispatched within 7 days
This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs). The intended audience is researchers and graduate students working in the fields of artificial intelligence related to sequential decision making: reinforcement learning, decision-theoretic planning for single agents, classical multiagent planning, decentralized control, and operations research.
| ISBN: | 9783319289274 |
| Publisher: | Springer International Publishing |
| Imprint: | Springer |
| Pub date: | 14 Jun 2016 |
| Edition: | 1st ed. 2016 |
| DEWEY: | 519.233 |
| DEWEY edition: | 23 |
| Language: | English |
| Number of pages: | 134 |
| Weight: | 262g |
| Height: | 159mm |
| Width: | 240mm |
| Spine width: | 13mm |
Human Compatible
Paperback
Published 30 Apr 2020
Genius Makers
Paperback
Published 27 Jan 2022
Superintelligence
Paperback
Published 14 Apr 2016
$12.99off
Signals and Systems Using MATLAB
Paperback
Published 03 Sep 2024
Save $12.99
$34.91off
Smart Green Energy Production
Hardback
Published 30 Dec 2024
Save $34.91
$156.71off
Identification of Continuous-Ti...
Hardback
Published 28 Mar 2008
Save $156.71
$10.01off
The Sounds of Life
Paperback
Published 07 May 2024
Save $10.01
$6.91off
On the Future
Paperback
Published 05 Oct 2021
Save $6.91
$1.13off
The Universe in a Box
Paperback
Published 13 Jun 2024
Save $1.13
$15.20off
Numerical Techniques for Direct...
Paperback
Published 14 Jun 2017
Save $15.20