ROMERES, DIEGO
ROMERES, DIEGO
Dipartimento di Tecnica e Gestione dei Sistemi Industriali - DTG
Lagrangian Inspired Polynomial Estimator for black-box learning and control of underactuated systems
2024 Giacomuzzo, G.; Cescon, R.; Romeres, D.; Carli, R.; Libera, A. D.
Reinforcement Learning for Athletic Intelligence: Lessons from the 1st “AI Olympics with RealAIGym” Competition
2024 Wiebe, Felix; Turcato, Niccolò; Dalla Libera, Alberto; Zhang, Chi; Vincent, Theo; Vyas, Shubham; Giacomuzzo, Giulio; Carli, Ruggero; Romeres, Diego; Sathuluri, Akhil; Zimmermann, Markus; Belousov, Boris; Peters, Jan; Kirchner, Frank; Kumar, Shivesh
Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning ??
2023 Libera, Alberto Dalla; Giacomuzzo, Giulio; Carli, Ruggero; Nikovski, Daniel; Romeres, Diego
Introduction to the special issue on Intelligent Control and Optimisation
2023 Mcloone, S; Guelton, K; Guerra, T; Susto, Ga; Kocijan, J; Romeres, D
Kernel Methods and Gaussian Processes for System Identification and Control: A Road Map on Regularized Kernel-Based Learning for Control
2023 Care, A.; Carli, R.; Libera, A. D.; Romeres, D.; Pillonetto, G.
Intelligent Control and Optimisation
2022 Mcloone, Seán; Guelton, Kevin; Guerra, Thierry; Susto, GIAN ANTONIO; Kocijan, Juš; Romeres, Diego
Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application
2022 Amadio, Fabio; DALLA LIBERA, Alberto; Antonello, Riccardo; Nikovski, Daniel; Carli, Ruggero; Romeres, Diego
Derivative-Free Online Learning of Inverse Dynamics Models
2020 Romeres, Diego; Zorzi, Mattia; Camoriano, Raffaello; Traversaro, Silvio; Chiuso, Alessandro
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements
2020 Dalla Libera, Alberto; Romeres, Diego; Jha, Devesh K.; Yerazunis, Bill; Nikovski, Daniel
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze
2019 Romeres, Diego; Jha, Devesh K.; Dallalibera, Alberto; Yerazunis, Bill; Nikovski, Daniel
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze
2019 Romeres, Diego; D. K., Jha; DALLA LIBERA, Alberto; B., Yerazunis; Daniel, Nikovski
Advances in System Identification: Gaussian Regression and Robot Inverse Dynamics Learning
2017 Romeres, Diego
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets
2016 Prando, Giulia; Romeres, Diego; Pillonetto, Gianluigi; Chiuso, Alessandro
On-line Bayesian system identification
2016 Romeres, Diego; Prando, Giulia; Pillonetto, Gianluigi; Chiuso, Alessandro
Online identification of time-varying systems: A Bayesian approach
2016 Prando, Giulia; Romeres, Diego; Chiuso, Alessandro
Online semi-parametric learning for inverse dynamics modeling
2016 Romeres, Diego; Zorzi, Mattia; Camoriano, Raffaello; Chiuso, Alessandro
Identification of stable models via nonparametric prediction error methods
2015 Romeres, Diego; Pillonetto, Gianluigi; Chiuso, Alessandro