TY  - BOOK
AU  - Oliehoek,Frans A.
AU  - Amato,Christopher
ED  - SpringerLink (Online service)
TI  - A Concise Introduction to Decentralized POMDPs
T2  - SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics,
SN  - 9783319289298
AV  - Q334-342 
U1  - 006.3 23
PY  - 2016///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer science
KW  - Artificial intelligence
KW  - Mathematical optimization
KW  - Control engineering
KW  - Robotics
KW  - Mechatronics
KW  - Computer Science
KW  - Artificial Intelligence (incl. Robotics)
KW  - Control, Robotics, Mechatronics
KW  - Optimization
N1  - Multiagent Systems Under Uncertainty -- The Decentralized POMDP Framework -- Finite-Horizon Dec-POMDPs -- Exact Finite-Horizon Planning Methods -- Approximate and Heuristic Finite-Horizon Planning Methods -- Infinite-Horizon Dec-POMDPs -- Infinite-Horizon Planning Methods: Discounted Cumulative Reward -- Infinite-Horizon Planning Methods: Average Reward -- Further Topics
N2  - 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
UR  - http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-28929-8
ER  -