19 citations · 51 across the 26 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.LG2026
Space-sampled Value Decay: Forgetting Mechanisms for Non-stationary Reinforcement Learning
Felix Störck, Fabian Hinder, Philipp Hartmann +2
Reinforcement Learning agents deployed on physical systems must adapt continually, since degradation and shifting environment conditions change the dynamics (they \emph{drift}) ove…
cs.LG2026
Drift Localization using Conformal Predictions
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf +1
Concept drift -- the change of the distribution over time -- poses significant challenges for learning systems and is of central interest for monitoring. Understanding drift is thu…