arXiv stat.ML
· Papers
Adversarial observations in probabilistic State-Space Models for robust Reinforcement Learning
arXiv:2606.20880v2 Announce Type: replace Abstract: Decision-making under partial or adversarial observability requires accurate inference of the environment's latent state and its associated uncertainty. This work analyses adversarial attacks on linear state-space models, where the attacker alters observations subject