Data-Driven Chance Constrained Control using Kernel Distribution
Embeddings

Data-Driven Chance Constrained Control using Kernel Distribution Embeddings

8 February 2022

Papers citing "Data-Driven Chance Constrained Control using Kernel Distribution Embeddings"

9 / 9 papers shown

Title
Act Natural! Extending Naturalistic Projection to Multimodal Behavior Scenarios Hamzah I. Khan David Fridovich-Keil 30 0 0 03 May 2025
A learning-based approach to stochastic optimal control under reach-avoid constraint Tingting Ni Maryam Kamgarpour 85 0 0 21 Dec 2024
Kernel-Based Optimal Control: An Infinitesimal Generator Approach Petar Bevanda Nicolas Hosichen Tobias Wittmann Jan Brüdigam Sandra Hirche Boris Houska 79 0 0 02 Dec 2024
Data-Driven Abstractions via Binary-Tree Gaussian Processes for Formal Verification Oliver Schon Shammakh Naseer B. Wooding Sadegh Soudjani 40 1 0 15 Jul 2024
Act Natural! Projecting Autonomous System Trajectories Into Naturalistic Behavior Sets Hamzah I. Khan Adam J. Thorpe David Fridovich-Keil 20 1 0 29 May 2024
CC-VPSTO: Chance-Constrained Via-Point-based Stochastic Trajectory Optimisation for Safe and Efficient Online Robot Motion Planning Lara Brudermüller Guillaume Berger Julius Jankowski Raunak P. Bhattacharyya Raphaël Jungers Nick Hawes 16 1 0 02 Feb 2024
Attack Impact Evaluation for Stochastic Control Systems through Alarm Flag State Augmentation Hampei Sasahara Takashi Tanaka H. Sandberg 17 0 0 30 Jan 2023
Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control Adam J. Thorpe Cyrus Neary Franck Djeumou Meeko Oishi Ufuk Topcu 38 7 0 09 Jan 2023
Conditional mean embeddings as regressors - supplementary Steffen Grunewalder Guy Lever Luca Baldassarre Sam Patterson Arthur Gretton Massimiliano Pontil 85 143 0 21 May 2012