Abstract: Recently, a methodology to use the sensitivity information for building the least squares support vector machine (LS-SVM)-based surrogate model for uncertainty quantification in the context ...

Abstract: Iterative learning control (ILC) is typically applied in practice combined with a feedback controller for time-domain stability. In this closed-loop design with actuator constraints, ...

RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...