A Concise Introduction to Decentralized POMDPs

A Concise Introduction to Decentralized POMDPs
Author :
Publisher : Springer
Total Pages : 146
Release :
ISBN-13 : 9783319289298
ISBN-10 : 3319289292
Rating : 4/5 (92 Downloads)

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

Download or read book A Concise Introduction to Decentralized POMDPs 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. 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
Mathematical Programming Methods for Decentralized POMDPs
Language: en
Pages: 0
Authors: Raghav Aras
Categories:
Type: BOOK - Published: 2008 - Publisher:

DOWNLOAD EBOOK

In this thesis, we study the problem of the optimal decentralized control of a partially observed Markov process over a finite horizon. The mathematical model c
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
Algorithms for Decision Making
Language: en
Pages: 701
Authors: Mykel J. Kochenderfer
Categories: Computers
Type: BOOK - Published: 2022-08-16 - Publisher: MIT Press

DOWNLOAD EBOOK

A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for so