Compact Representation of Value Function in Partially Observable Stochastic Games
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00332701" target="_blank" >RIV/68407700:21230/19:00332701 - isvavai.cz</a>
Result on the web
<a href="https://www.ijcai.org/proceedings/2019/50" target="_blank" >https://www.ijcai.org/proceedings/2019/50</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.24963/ijcai.2019/50" target="_blank" >10.24963/ijcai.2019/50</a>
Alternative languages
Result language
angličtina
Original language name
Compact Representation of Value Function in Partially Observable Stochastic Games
Original language description
Value methods for solving stochastic games with partial observability model the uncertainty of the players as a probability distribution over possible states, where the dimension of the belief space is the number of states. For many practical problems, there are exponentially many states which causes scalability problems. We propose an abstraction technique that addresses this curse of dimensionality by projecting the high-dimensional beliefs onto characteristic vectors of significantly lower dimension (e.g., marginal probabilities). Our main contributions are (1) a novel compact representation of the uncertainty in partially observable stochastic games and (2) a novel algorithm using this representation that is based on existing state-of-the-art algorithms for solving stochastic games with partial observability. Experimental evaluation confirms that the new algorithm using the compact representation dramatically increases scalability compared to the state of the art.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GJ19-24384Y" target="_blank" >GJ19-24384Y: Computing Equilibrium Strategies in Dynamic Games</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
ISBN
978-0-9992411-4-1
ISSN
—
e-ISSN
1045-0823
Number of pages
7
Pages from-to
350-356
Publisher name
International Joint Conferences on Artificial Intelligence Organization
Place of publication
—
Event location
Macau
Event date
Aug 10, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—