0646408 20260304131628.020260223235959.9 2025 Dynamic programming adversarial machine learning (AdvML) Multi-agent reinforcement learning (MARL) robust reinforcement learning Bayesian reinforcement learning cav_un_auth*0491463 Ružejnikov Jurij UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS CZ 100 K Ústav teorie informace a automatizace AV ČR, v. v. i. online databáze 90.89 kB https://doi.org/10.6084/m9.figshare.30788984 101168272 EC XE cav_un_auth*0492513 CA24136 EC XE cav_un_auth*0504278 2025A1013 Provozně Ekonomická Fakulta ČZU CZ cav_un_auth*0504279 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. IN 10000 10100 10102 2026 1 RVO:67985556 https://hdl.handle.net/11104/0376313 cav_un_auth*0478849 Provozně ekonomická fakulta, Česká zemědělská univerzita v Praze PEF CZU CZ S 2025 2025