A Concise Introduction to Decentralized POMDPs

Download or Read eBook A Concise Introduction to Decentralized POMDPs PDF written by Frans A. Oliehoek and published by Springer. This book was released on 2016-06-03 with total page 146 pages. Available in PDF, EPUB and Kindle.
A Concise Introduction to Decentralized POMDPs
Author :
Publisher : Springer
Total Pages : 146
Release :
ISBN-10 : 9783319289298
ISBN-13 : 3319289292
Rating : 4/5 (98 Downloads)

Book Synopsis A Concise Introduction to Decentralized POMDPs by : Frans A. Oliehoek

Book excerpt: 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.


A Concise Introduction to Decentralized POMDPs Related Books

A Concise Introduction to Decentralized POMDPs
Language: en
Pages: 146
Authors: Frans A. Oliehoek
Categories: Computers
Type: BOOK - Published: 2016-06-03 - Publisher: Springer

DOWNLOAD EBOOK

This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs). The inten
A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
Language: en
Pages: 71
Authors: Nikos Kolobov
Categories: Computers
Type: BOOK - Published: 2022-06-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and ma
Decision Making Under Uncertainty
Language: en
Pages: 350
Authors: Mykel J. Kochenderfer
Categories: Computers
Type: BOOK - Published: 2015-07-24 - Publisher: MIT Press

DOWNLOAD EBOOK

An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to
A Concise Introduction to Models and Methods for Automated Planning
Language: en
Pages: 132
Authors: Hector Radanovic
Categories: Computers
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature

DOWNLOAD EBOOK

Planning is the model-based approach to autonomous behavior where the agent behavior is derived automatically from a model of the actions, sensors, and goals. T
Deep Reinforcement Learning
Language: en
Pages: 414
Authors: Aske Plaat
Categories: Computers
Type: BOOK - Published: 2022-06-10 - Publisher: Springer Nature

DOWNLOAD EBOOK

Deep reinforcement learning has attracted considerable attention recently. Impressive results have been achieved in such diverse fields as autonomous driving, g