Decentralized planning in stochastic environments with submodular rewards

Decentralized planning in stochastic environments with submodular rewards

Decentralized Markov Decision Process (Dec-MDP) providesa rich framework to represent cooperative decentralizedand stochastic planning problems under transition uncertainty.However, solving a Dec-MDP to generate coordinatedyet decentralized policies is NEXP-Hard. Researchershave made significant pro...

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Bibliographic Details
Main Authors: KUMAR, Rajiv Ranjan, Pradeep VARAKANTHAM, Akshat KUMAR
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
Subjects:
Multiagent Systems
Planning under uncertainty
Artificial Intelligence and Robotics
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/3549
https://ink.library.smu.edu.sg/context/sis_research/article/4550/viewcontent/14928_66557_1_PB.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/3549
https://ink.library.smu.edu.sg/context/sis_research/article/4550/viewcontent/14928_66557_1_PB.pdf

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