Robust Sequential Decision-Making in Adversarial Environments: Codebase

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F25%3A00646408" target="_blank" >RIV/67985556:_____/25:00646408 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.6084/m9.figshare.30788984" target="_blank" >https://doi.org/10.6084/m9.figshare.30788984</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Robust Sequential Decision-Making in Adversarial Environments: Codebase
Original language description
This repository contains experimental datasets, results and configuration files supporting the research article „Robust Sequential Decision-Making in Adversarial Environments“. The associated study addresses reinforcement learning in non-stationary, adversarial environments where standard Markov Decision Process (MDP) assumptions are violated, introducing a model-based framework for Threatened Markov Decision Process (TMDP) that utilises Bayesian belief updates to compute robust policies.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Internal product ID
TMDP adversarial rl
Technical parameters
TMDP adversarial rl, 90.89 kB, Algoritmy pro nestacionární nepřátelské interakce v reinforcement learning
Economical parameters
Algoritmy pro nestacionární nepřátelské interakce v reinforcement learning
Owner IČO
67985556
Owner name
Ústav teorie Informace a automatizace AV ČR, v. v. i.

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