Author

Marina S. Moseva

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#reinforcement learning Open access Oct 2026

Baselines, Sample Size, and Supervisory Activity in Guarded Reinforcement-Learning Traffic Signal Control: A SUMO Evidence Audit

Guarded supervision may leave a learned adviser inactive, obscuring non-inferiority. We audited an eight-version yellowSimulation of Urban MObility (SUMO) program covering three networks and 3480 counterfactual pairs. A contrast model gained 16.38 percentage points of root-mean-square-error skill over zero effect; eigh...

Mikhail G. Gorodnichev, Marina S. Moseva · Applied Sciences · 0 citations

#diffusion models Open access Oct 2026

cf-uncertainty: epistemic and aleatoric uncertainty in learned car-following

Nine strengthening items after the extension of v1.4.0, their code, configurations, analysis tables and the compact tables c25-c31 of the extended manuscript. Plan and reading rules: extension/docs/PLAN.md, section S. Code. The model-spec key sampler of an E3 variant (DiffusionCF.configure_sampler: re-planning interval...

Mikhail G. Gorodnichev, Marina S. Moseva · Zenodo (CERN European Organi... · 0 citations