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Value-based planning for teams of agents in stochastic partially observable environments [electronic resource] / door Frans Adriaan Oliehoek.
- Format:
- Book
- Thesis/Dissertation
- Author/Creator:
- Oliehoek, Frans A.
- Series:
- UvA proefschriften
- Language:
- English
- Subjects (All):
- Mathematics.
- Physical Description:
- 1 online resource (222 p.)
- Place of Publication:
- [Amsterdam] : Amsterdam University Press, 2010.
- Language Note:
- English
- Summary:
- In this thesis decision-making problems are formalized using a stochastic discrete-time model called decentralized partially observable Markov decision process (Dec-POMDP).
- 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
- Notes:
- Description based upon print version of record.
- Academisch Proefschrift.
- Includes bibliographical references (p. 197-211).
- ISBN:
- 1-282-63390-2
- 9786612633904
- 90-485-1230-1
- OCLC:
- 645097316
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