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A Concise Introduction to Decentralized POMDPs / by Frans A. Oliehoek, Christopher Amato.
- Format:
- Book
- Author/Creator:
- Oliehoek, Frans A., author.
- Amato, Christopher, author.
- Series:
- Computer Science (Springer-11645)
- SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics,. 2196-548X
- SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics, 2196-548X
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Automatic control.
- Robotics.
- Mechatronics.
- Mathematical optimization.
- Artificial Intelligence.
- Control, Robotics, Mechatronics.
- Optimization.
- Local Subjects:
- Artificial Intelligence.
- Control, Robotics, Mechatronics.
- Optimization.
- Physical Description:
- 1 online resource (XX, 134 pages) : 36 illustrations, 22 illustrations in color.
- Edition:
- First edition 2016.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2016.
- System Details:
- text file PDF
- Summary:
- 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. .
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-28929-8
- 9783319289298
- Access Restriction:
- Restricted for use by site license.
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