63 citations · 203 across the 11 of their papers we have counts for
5 papers · 1 filter
Residential Demand Response Applications Using Batch Reinforcement Learning
Frederik Ruelens, Bert Claessens, Stijn Vandael +3
Driven by recent advances in batch Reinforcement Learning (RL), this paper contributes to the application of batch RL to demand response. In contrast to conventional model-based ap…
Sampling-based Approximations with Quantitative Performance for the Probabilistic Reach-Avoid Problem over General Markov Processes
Sofie Haesaert, Robert Babuska, Alessandro Abate
This article deals with stochastic processes endowed with the Markov (memoryless) property and evolving over general (uncountable) state spaces. The models further depend on a non-…
Synchronization of a class of cyclic discrete-event systems describing legged locomotion
G. A. D. Lopes, B. Kersbergen, B. De Schutter +2
It has been shown that max-plus linear systems are well suited for applications in synchronization and scheduling, such as the generation of train timetables, manufacturing, or tra…
Reinforcement learning for port-Hamiltonian systems
Olivier Sprangers, Gabriel A. D. Lopes, Robert Babuska
Passivity-based control (PBC) for port-Hamiltonian systems provides an intuitive way of achieving stabilization by rendering a system passive with respect to a desired storage func…
Constrained Distributed Algebraic Connectivity Maximization in Robotic Networks
Andrea Simonetto, Tamas Keviczky, Robert Babuska
We consider the problem of maximizing the algebraic connectivity of the communication graph in a network of mobile robots by moving them into appropriate positions. We define the L…