Training Neural Network Controllers Using Control Barrier Functions in the Presence of Disturbances

18 January 2020

Papers citing "Training Neural Network Controllers Using Control Barrier Functions in the Presence of Disturbances"

10 / 10 papers shown

Title
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models Zhongyu Li Jun Zeng A. Thirugnanam Koushil Sreenath 29 16 0 11 May 2022
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving Wei Xiao Tsun-Hsuan Wang Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 27 26 0 04 Mar 2022
BarrierNet: A Safety-Guaranteed Layer for Neural Networks Wei Xiao Ramin Hasani Xiao Li Daniela Rus 23 20 0 22 Nov 2021
Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations Lars Lindemann Alexander Robey Lejun Jiang Satyajeet Das Stephen Tu Nikolai Matni 47 42 0 18 Nov 2021
Local Repair of Neural Networks Using Optimization K. Majd Siyu Zhou H. B. Amor Georgios Fainekos S. Sankaranarayanan 30 6 0 28 Sep 2021
Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions K. Majd Shakiba Yaghoubi Tomoya Yamaguchi Bardh Hoxha Danil Prokhorov Georgios Fainekos 96 27 0 03 May 2021
Learning Robust Hybrid Control Barrier Functions for Uncertain Systems Alexander Robey Lars Lindemann Stephen Tu Nikolai Matni 44 38 0 16 Jan 2021
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
Recurrent Neural Network Controllers for Signal Temporal Logic Specifications Subject to Safety Constraints Wenliang Liu N. Mehdipour C. Belta 9 48 0 24 Sep 2020
Learning Control Barrier Functions from Expert Demonstrations Alexander Robey Haimin Hu Lars Lindemann Hanwen Zhang Dimos V. Dimarogonas Stephen Tu Nikolai Matni 31 202 0 07 Apr 2020