Dynamic Programming Approximations for Partially Observable Stochastic Games

Partially observable stochastic games (POSGs) provide a rich mathematical framework for planning under uncertainty by a group of agents. However, this modeling advantage comes with a price, namely a high computational cost. Solving POSGs optimally quickly becomes intractable after a few decision cyc...

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Bibliographic Details
Main Authors: KUMAR, Akshat, ZILBERSTEIN, Shlomo
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2009
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Online Access:https://ink.library.smu.edu.sg/sis_research/2214
https://ink.library.smu.edu.sg/context/sis_research/article/3214/viewcontent/KZflairs09.pdf
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Institution: Singapore Management University
Language: English