Derivative-free online learning of inverse dynamics models

Derivative-free online learning of inverse dynamics models

13 September 2018

Raffaello Camoriano

Silvio Traversaro

ArXiv (abs)PDF HTML

Papers citing "Derivative-free online learning of inverse dynamics models"

9 / 9 papers shown

Title
A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification Giulio Giacomuzzo Alberto Dalla Libera Diego Romeres R. Carli 79 2 0 10 Oct 2023
Online Dynamics Learning for Predictive Control with an Application to Aerial Robots Tom Z. Jiahao K. Y. Chee M. A. Hsieh 89 21 0 19 Jul 2022
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models M. Lutter Jan Peters PINN AI4CE 97 42 0 05 Oct 2021
Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application Fabio Amadio Alberto Dalla Libera R. Antonello D. Nikovski R. Carli Diego Romeres 42 29 0 28 Jan 2021
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes Timothée Lesort CLL 67 22 0 01 Jul 2020
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements Alberto Dalla Libera Diego Romeres Devesh K. Jha B. Yerazunis D. Nikovski OffRL 123 12 0 25 Feb 2020
Online Simultaneous Semi-Parametric Dynamics Model Learning Joshua R. Smith M. Mistry 61 8 0 09 Oct 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz Rodríguez CLL 118 250 0 29 Jun 2019
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze Diego Romeres Devesh K. Jha Alberto Dalla Libera W. Yerazunis D. Nikovski 90 28 0 13 Sep 2018