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20232026
most citedReinforcement learning with non-ergodic reward increments: robustness via ergodicity transformations

3 citations · 4 across the 7 of their papers we have counts for

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2 papers · 1 filter

eess.SY2026

Uncertainty Quantification via Invariant-Measure Conformal Prediction

Mohammadhossein Bakhtiaridoust, Dominik Baumann, Shankar Deka

Uncertainty quantification for learned stochastic dynamical systems is essential in safety-critical tasks such as control and monitoring. Standard conformal prediction provides fin…

eess.SY2026

Safe learning-based control via function-based uncertainty quantification

Abdullah Tokmak, Toni Karvonen, Thomas B. Schön +1

Uncertainty quantification is essential when deploying learning-based control methods in safety-critical systems. This is commonly realized by constructing uncertainty tubes that e…