3 papers
stat.ML2026
Is Supervised Learning Really That Different from Unsupervised?
Oskar Allerbo, Thomas B. Schön
We demonstrate how supervised learning can be decomposed into a two-stage procedure, where (1) all model parameters are selected in an unsupervised manner, and (2) the outputs y ar…
cs.LG2025
Reinforcement learning with non-ergodic reward increments: robustness via ergodicity transformations
Dominik Baumann, Erfaun Noorani, James Price +3
Envisioned application areas for reinforcement learning (RL) include autonomous driving, precision agriculture, and finance, which all require RL agents to make decisions in the re…
cs.RO2024
Rao-Blackwellized Particle Smoothing for Simultaneous Localization and Mapping
Manon Kok, Arno Solin, Thomas B. Schön
Simultaneous localization and mapping (SLAM) is the task of building a map representation of an unknown environment while at the same time using it for positioning. A probabilistic…