Value-Based Planning for Teams of Agents in Stochastic Partially Observable Environments.
Title:
Value-Based Planning for Teams of Agents in Stochastic Partially Observable Environments.
Author:
Oliehoek, Frans.
ISBN:
9789048512300
Personal Author:
Physical Description:
1 online resource (222 pages)
Series:
UvA proefschriften
Contents:
Introduction -- Decision-Theoretic Planning for Teams of Agents -- Optimal Value Functions for Dec-POMDPs -- Approximate Value Functions & Heuristic Policy Search -- Factored Dec-POMDPs: Exploiting Locality of Interaction -- Lossless Clustering of Histories -- Conclusions and Discussion -- Summary -- Samenvatting -- Problem Specifications -- Immediate Reward Value Function Formulations -- Formalization of Regression to Factored Q-Value Functions -- Proofs -- Bibliography -- Acknowledgments.
Abstract:
In this thesis decision-making problems are formalized using a stochastic discrete-time model called decentralized partially observable Markov decision process (Dec-POMDP).
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Genre:
Electronic Access:
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