Probabilistic Safety Constraints for Learned High Relative Degree System
Dynamics

Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics

20 December 2019

M. J. Khojasteh

M. Franceschetti

Nikolay Atanasov

Papers citing "Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics"

13 / 13 papers shown

Title
Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp Merging Soumith Udatha Yiwei Lyu John M. Dolan 17 1 0 01 Dec 2022
Deep Model Predictive Variable Impedance Control Akhil S. Anand Fares J. Abu-Dakka J. Gravdahl 18 11 0 20 Sep 2022
Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions Wenhao Luo Wen Sun Ashish Kapoor OffRL 43 9 0 29 Jul 2022
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings Adam J. Thorpe T. Lew Meeko Oishi Marco Pavone 25 21 0 08 Feb 2022
$Improving the Robustness of Reinforcement Learning Policies with $\mathcal{L}_{1}$ Adaptive Control$ Improving the Robustness of Reinforcement Learning Policies with $\mathcal{L}_{1}$ Adaptive Control Y. Cheng Penghui Zhao F. Wang D. Block N. Hovakimyan 46 8 0 03 Dec 2021
On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation T. Lew Apoorva Sharma James Harrison Edward Schmerling Marco Pavone 26 6 0 11 Nov 2021
Risk-perception-aware control design under dynamic spatial risks A. Suresh Sonia Martínez 13 10 0 09 Sep 2021
Probabilistic Safety-Assured Adaptive Merging Control for Autonomous Vehicles Yiwei Lyu Wenhao Luo John M. Dolan 18 43 0 29 Apr 2021
Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics F. Castañeda Jason J. Choi Bike Zhang Claire Tomlin K. Sreenath 32 38 0 14 Nov 2020
Learning Hybrid Control Barrier Functions from Data Lars Lindemann Haimin Hu Alexander Robey Hanwen Zhang Dimos V. Dimarogonas Stephen Tu Nikolai Matni 37 51 0 08 Nov 2020
Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties Richard Cheng M. J. Khojasteh Aaron D. Ames J. W. Burdick 22 87 0 11 Apr 2020
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems Andrew J. Taylor Victor D. Dorobantu Hoang Minh Le Yisong Yue Aaron D. Ames 117 78 0 04 Mar 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015