Please use this identifier to cite or link to this item:
http://lib.hpu.edu.vn/handle/123456789/25973| Title: | A Concise Introduction to Decentralized POMDPs |
| Authors: | Oliehoek, Frans A. Amato, Christopher |
| Keywords: | Decentralized POMDPs Decentralized partially observable Markov decision processes Intelligent Systems |
| Issue Date: | 2016 |
| Publisher: | Springer |
| Abstract: | 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. |
| URI: | https://lib.hpu.edu.vn/handle/123456789/25973 |
| ISBN: | 978-3-319-28927-4 978-3-319-28929-8 |
| Appears in Collections: | Technology |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 195_A_Concise_Introduction_to_Decentralized_POMDPs.pdf Restricted Access | 2.37 MB | Adobe PDF | ![]() View/Open Request a copy |
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