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Dynamic Programming for Partially Observable Stochastic Games (2004)

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by Eric A. Hansen
Venue:IN PROCEEDINGS OF THE NINETEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE
Citations:159 - 25 self
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BibTeX

@INPROCEEDINGS{Hansen04dynamicprogramming,
    author = {Eric A. Hansen},
    title = {Dynamic Programming for Partially Observable Stochastic Games},
    booktitle = {IN PROCEEDINGS OF THE NINETEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE},
    year = {2004},
    pages = {709--715},
    publisher = {}
}

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Abstract

We develop an exact dynamic programming algorithm for partially observable stochastic games (POSGs). The algorithm is a synthesis of dynamic programming for partially observable Markov decision processes (POMDPs) and iterated elimination of dominated strategies in normal form games.

Keyphrases

dynamic programming    partially observable stochastic game    observable markov decision process    iterated elimination    normal form game    exact dynamic programming algorithm    dominated strategy    observable stochastic game   

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