On Simulation and Trajectory Prediction with Gaussian Process Dynamics

On Simulation and Trajectory Prediction with Gaussian Process Dynamics

23 December 2019

Lukas P. Frohlich

Melanie Zeilinger

Papers citing "On Simulation and Trajectory Prediction with Gaussian Process Dynamics"

11 / 11 papers shown

Title
Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework Manish Prajapat Amon Lahr Johannes Köhler Andreas Krause Melanie Zeilinger 31 2 0 13 Sep 2024
Exact Inference for Continuous-Time Gaussian Process Dynamics K. Ensinger Nicholas Tagliapietra Sebastian Ziesche Sebastian Trimpe 29 1 0 05 Sep 2023
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions Vibha Bharilya Neetesh Kumar 33 47 0 12 Jul 2023
Safe Machine-Learning-supported Model Predictive Force and Motion Control in Robotics Janine Matschek Johanna Bethge R. Findeisen 45 8 0 08 Mar 2023
Targeted Adversarial Attacks against Neural Network Trajectory Predictors Kai Liang Tan Jun Wang Y. Kantaros AAML 35 14 0 08 Dec 2022
The Past Does Matter: Correlation of Subsequent States in Trajectory Predictions of Gaussian Process Models Steffen Ridderbusch Sina Ober-Blobaum Paul Goulart 27 2 0 20 Nov 2022
Gaussian Process for Trajectories Kien Nguyen John Krumm Cyrus Shahabi GP 19 1 0 07 Oct 2021
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning Nathan Lambert Albert Wilcox Howard Zhang K. Pister Roberto Calandra 25 33 0 16 Dec 2020
Learning ODE Models with Qualitative Structure Using Gaussian Processes Steffen Ridderbusch Christian Offen Sina Ober-Blobaum Paul Goulart 10 15 0 10 Nov 2020
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling T. Lew Marco Pavone AAML 30 53 0 24 Aug 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning Sebastian Curi Felix Berkenkamp Andreas Krause 33 82 0 15 Jun 2020