Adversary Strategy Sampling for Effective Plan Generation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00352524" target="_blank" >RIV/68407700:21230/21:00352524 - isvavai.cz</a>
Result on the web
<a href="https://ojs.aaai.org/index.php/SOCS/article/view/18571" target="_blank" >https://ojs.aaai.org/index.php/SOCS/article/view/18571</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Adversary Strategy Sampling for Effective Plan Generation
Original language description
Effective plan generation in adversarial environments has totake into account possible actions of adversary agents, i.e.,the agent should know what the competitor will likely do.In this paper we propose a novel approach for estimatingstrategies of the adversary, sampling actions that interferewith the agent’s ones. The estimated competitor strategies areused in plan generation by considering that agent’s actionshave to be applied prior to the ones of the competitor, whoseestimated times dictate the agent’s deadlines. Missing thesedeadlines entails additional plan cost
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
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 International Symposium on Combinatorial Search
ISBN
9781713834557
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
164-166
Publisher name
Association for the Advancement of Artificial Intelligence (AAAI)
Place of publication
Palo Alto, California
Event location
Virtual conference
Event date
Jul 26, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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