Online semi-parametric learning for inverse dynamics modeling

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Online semi-parametric learning for inverse dynamics modeling

17 March 2016

Raffaello Camoriano

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Papers citing "Online semi-parametric learning for inverse dynamics modeling"

13 / 13 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 81 2 0 10 Oct 2023
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models M. Lutter Jan Peters PINN AI4CE 97 42 0 05 Oct 2021
Lightweight Distributed Gaussian Process Regression for Online Machine Learning Zhenyuan Yuan Minghui Zhu 50 4 0 11 May 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 74 22 0 01 Jul 2020
Multi-Sparse Gaussian Process: Learning based Semi-Parametric Control Mouhyemen Khan Akash Patel A. Chatterjee 29 2 0 03 Mar 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
Large-scale Kernel Methods and Applications to Lifelong Robot Learning Raffaello Camoriano 75 1 0 11 Dec 2019
Online Simultaneous Semi-Parametric Dynamics Model Learning Joshua R. Smith M. Mistry 61 8 0 09 Oct 2019
Safe Approximate Dynamic Programming Via Kernelized Lipschitz Estimation Ankush Chakrabarty Devesh K. Jha G. Buzzard Yebin Wang K. Vamvoudakis 50 26 0 03 Jul 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 120 250 0 29 Jun 2019
Derivative-free online learning of inverse dynamics models D. Romeres Mattia Zorzi Raffaello Camoriano Silvio Traversaro A. Chiuso 69 33 0 13 Sep 2018
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