Adriano Pacciarelli

Geometry of Uncertainty: Learning Metric Spaces for Multimodal State Estimation in RL

Estimating the state of an environment from high-dimensional, multimodal, and noisy observations is a fundamental challenge in reinforcement learning (RL). Traditional approaches rely on probabilistic models to account for the uncertainty, but often require explicit noise assumptions, in turn limiti…