GP-ILQG: Data-driven Robust Optimal Control for Uncertain Nonlinear Dynamical Systems

15 May 2017

Papers citing "GP-ILQG: Data-driven Robust Optimal Control for Uncertain Nonlinear Dynamical Systems"

14 / 14 papers shown

Title
Data-Driven Distributionally Robust Optimal Control with State-Dependent NoiseIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Rui Liu Guan-Yu Shi Erfaun Noorani 181 11 0 04 Mar 2023
The ReSWARM Microgravity Flight Experiments: Planning, Control, and Model Estimation for On-Orbit Close Proximity Operations Bryce Doerr K. Albee Monica Ekal R. Ventura R. Linares 86 6 0 03 Jan 2023
Compositional Learning-based Planning for Vision POMDPs Sampada Deglurkar M. H. Lim Johnathan Tucker Zachary Sunberg Aleksandra Faust Claire Tomlin 162 5 0 17 Dec 2021
Learning to Control an Unstable System with One Minute of Data: Leveraging Gaussian Process Differentiation in Predictive ControlIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 I. D. Rodriguez Ugo Rosolia Aaron D. Ames Yisong Yue 218 2 0 08 Mar 2021
Driving Through Ghosts: Behavioral Cloning with False PositivesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020 Andreas Buhler Adrien Gaidon Andrei Cramariuc Rares Andrei Ambrus Guy Rosman Wolfram Burgard 151 18 0 29 Aug 2020
Sufficiently Accurate Model Learning Clark Zhang Arbaaz Khan Santiago Paternain Alejandro Ribeiro 89 3 0 19 Feb 2019
Safe Reinforcement Learning with Model Uncertainty Estimates Björn Lütjens Michael Everett Jonathan P. How 208 184 0 19 Oct 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 212 28 0 13 Sep 2018
A survey on policy search algorithms for learning robot controllers in a handful of trialsIEEE Transactions on robotics (T-RO), 2018 Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 389 166 0 06 Jul 2018
Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system Kendall Lowrey S. Kolev Jeremy Dao Aravind Rajeswaran E. Todorov 144 60 0 28 Mar 2018
Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning J. A. G. Higuera David Meger Gregory Dudek BDL 138 40 0 06 Mar 2018
Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search Rémi Pautrat Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 150 44 0 20 Sep 2017
Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 128 45 0 20 Sep 2017
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control Sanket Kamthe M. Deisenroth 299 224 0 20 Jun 2017