Semiparametrical Gaussian Processes Learning of Forward Dynamical Models
for Navigating in a Circular Maze

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Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze

13 September 2018

Alberto Dalla Libera

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Papers citing "Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze"

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Title
Adaptive Nonlinear Model Predictive Control for a Real-World Labyrinth Game Johannes Gaber Thomas Bi Raffaello DÁndrea AI4CE 107 0 0 12 Jun 2024
Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning Alberto Dalla Libera Giulio Giacomuzzo R. Carli D. Nikovski Diego Romeres AI4CE 33 4 0 11 Jul 2023
Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes Weizhe (Wesley) Chen Roni Khardon Lantao Liu 91 10 0 02 Jun 2023
Learning Control from Raw Position Measurements Fabio Amadio Alberto Dalla Libera D. Nikovski R. Carli Diego Romeres 30 9 0 30 Jan 2023
Imitation and Supervised Learning of Compliance for Robotic Assembly Devesh K. Jha Diego Romeres W. Yerazunis D. Nikovski 41 11 0 20 Nov 2021
PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance A. Raghunathan Devesh K. Jha Diego Romeres 84 26 0 06 Jun 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
Model-based Policy Search for Partially Measurable Systems Fabio Amadio Alberto Dalla Libera R. Carli D. Nikovski Diego Romeres 30 0 0 21 Jan 2021
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation Keita Ota Devesh K. Jha Diego Romeres J. Baar Kevin A. Smith Takayuki Semitsu Tomoaki Oiki Alan Sullivan D. Nikovski J. Tenenbaum 86 5 0 14 Nov 2020
DRF: A Framework for High-Accuracy Autonomous Driving Vehicle Modeling Shu Jiang Yu Wang Longtao Lin Weiman Lin Yu Cao Jinghao Miao Qi Luo 28 2 0 01 Nov 2020
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context Wenyu Zhang Skyler Seto Devesh K. Jha 71 5 0 26 Mar 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 131 12 0 25 Feb 2020
Local Policy Optimization for Trajectory-Centric Reinforcement Learning Patrik Kolaric Devesh K. Jha A. Raghunathan F. Lewis M. Benosman Diego Romeres D. Nikovski 66 10 0 22 Jan 2020
Quasi-Newton Trust Region Policy Optimization Devesh K. Jha A. Raghunathan Diego Romeres 55 9 0 26 Dec 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