Solving Partially Observable Stochastic Games with Public Observations
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00329800" target="_blank" >RIV/68407700:21230/19:00329800 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1609/aaai.v33i01.33012029" target="_blank" >http://dx.doi.org/10.1609/aaai.v33i01.33012029</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1609/aaai.v33i01.33012029" target="_blank" >10.1609/aaai.v33i01.33012029</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Solving Partially Observable Stochastic Games with Public Observations
Popis výsledku v původním jazyce
n many real-world problems, there is a dynamic interactionbetween competitive agents. Partially observable stochasticgames (POSGs) are among the most general formal mod-els that capture such dynamic scenarios. The model capturesstochastic events, partial information of players about the en-vironment, and the scenario does not have a fixed horizon.Solving POSGs in the most general setting is intractable.Therefore, the research has been focused on subclasses ofPOSGs that have a value of the game and admit designing(approximate) optimal algorithms. We propose such a sub-class for two-player zero-sum games with discounted-sumobjective function—POSGs withpublic observations(PO-POSGs)—where each player is able to reconstruct beliefs ofthe other player over the unobserved states. Our results in-clude: (1) theoretical analysis of PO-POSGs and their valuefunctions showing convexity (concavity) in beliefs of maxi-mizing (minimizing) player, (2) a novel algorithm for approx-imating the value of the game, and (3) a practical demon-stration of scalability of our algorithm. Experimental resultsshow that our algorithm can closely approximate the value ofnon-trivial games with hundreds of states
Název v anglickém jazyce
Solving Partially Observable Stochastic Games with Public Observations
Popis výsledku anglicky
n many real-world problems, there is a dynamic interactionbetween competitive agents. Partially observable stochasticgames (POSGs) are among the most general formal mod-els that capture such dynamic scenarios. The model capturesstochastic events, partial information of players about the en-vironment, and the scenario does not have a fixed horizon.Solving POSGs in the most general setting is intractable.Therefore, the research has been focused on subclasses ofPOSGs that have a value of the game and admit designing(approximate) optimal algorithms. We propose such a sub-class for two-player zero-sum games with discounted-sumobjective function—POSGs withpublic observations(PO-POSGs)—where each player is able to reconstruct beliefs ofthe other player over the unobserved states. Our results in-clude: (1) theoretical analysis of PO-POSGs and their valuefunctions showing convexity (concavity) in beliefs of maxi-mizing (minimizing) player, (2) a novel algorithm for approx-imating the value of the game, and (3) a practical demon-stration of scalability of our algorithm. Experimental resultsshow that our algorithm can closely approximate the value ofnon-trivial games with hundreds of states
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Výzkumné centrum informatiky</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence
ISBN
978-1-57735-809-1
ISSN
2159-5399
e-ISSN
—
Počet stran výsledku
8
Strana od-do
2029-2036
Název nakladatele
AAAI Press
Místo vydání
Menlo Park, California
Místo konání akce
Honolulu
Datum konání akce
27. 1. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000485292602006