2 papers
eess.SY2025
Guided Bayesian Optimization: Data-Efficient Controller Tuning with Digital Twin
Mahdi Nobar, Jürg Keller, Alisa Rupenyan +2
This article presents the guided Bayesian optimization algorithm as an efficient data-driven method for iteratively tuning closed-loop controller parameters using an event-triggere…
eess.SY2025
Off-Policy Temporal Difference Learning for Perturbed Markov Decision Processes: Theoretical Insights and Extensive Simulations
Ali Forootani, Raffaele Iervolino, Massimo Tipaldi +1
Dynamic Programming suffers from the curse of dimensionality due to large state and action spaces, a challenge further compounded by uncertainties in the environment. To mitigate t…