2 papers
stat.ML2026
Adversarial observations in probabilistic State-Space Models for robust Reinforcement Learning
M. Santos-Pascual, D. RÃos Insua, D. Ríos Insua
Decision-making under partial or adversarial observability requires accurate inference of the environment's latent state and its associated uncertainty. This work analyses adversar…
stat.AP2026
A Two-Level Plackett-Luce Model for preference modeling in smart mobility platforms
M. Santos-Pascual, D. RÃos Insua, P. Angulo
The Plackett-Luce model is widely used to deal with probabilities in discrete choice settings. This paper introduces a novel two-level Plackett-Luce model combined with a multinomi…