Actively Learning Gaussian Process Dynamics

22 November 2019

Papers citing "Actively Learning Gaussian Process Dynamics"

6 / 6 papers shown

Title
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes Markus Lange-Hegermann Christoph Zimmer AI4TS 47 0 0 17 May 2024
Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models A. LaGrassa Moonyoung Lee Oliver Kroemer 23 2 0 08 Jan 2024
The Past Does Matter: Correlation of Subsequent States in Trajectory Predictions of Gaussian Process Models Steffen Ridderbusch Sina Ober-Blobaum Paul Goulart 11 2 0 20 Nov 2022
Active Model Learning using Informative Trajectories for Improved Closed-Loop Control on Real Robots Weixuan Zhang M. Tognon Lionel Ott Roland Siegwart Juan I. Nieto 18 7 0 20 Jan 2021
SAMBA: Safe Model-Based & Active Reinforcement Learning Alexander I. Cowen-Rivers Daniel Palenicek Vincent Moens Mohammed Abdullah Aivar Sootla Jun Wang Haitham Bou-Ammar 21 44 0 12 Jun 2020
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems Yashwanth Kumar Nakka Anqi Liu Guanya Shi Anima Anandkumar Yisong Yue Soon-Jo Chung 24 49 0 09 May 2020