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Reactive and Safe Road User Simulations using Neural Barrier
  Certificates

Reactive and Safe Road User Simulations using Neural Barrier Certificates

14 September 2021
Yue Meng
Zengyi Qin
Chuchu Fan
ArXivPDFHTML

Papers citing "Reactive and Safe Road User Simulations using Neural Barrier Certificates"

20 / 20 papers shown
Title
Diverse Controllable Diffusion Policy with Signal Temporal Logic
Yue Meng
Chuchu fan
120
2
0
04 Mar 2025
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
Songyuan Zhang
Oswin So
Kunal Garg
Chuchu Fan
AI4CE
103
23
0
25 Jan 2024
Learning Safe Multi-Agent Control with Decentralized Neural Barrier
  Certificates
Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates
Zengyi Qin
Kai Zhang
Yuxiao Chen
Jingkai Chen
Chuchu Fan
28
132
0
14 Jan 2021
Learning Barrier Functions with Memory for Robust Safe Navigation
Learning Barrier Functions with Memory for Robust Safe Navigation
Kehan Long
Cheng Qian
Jorge Cortés
Nikolay Atanasov
45
55
0
03 Nov 2020
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
James Ferlez
Mahmoud M. Elnaggar
Yasser Shoukry
C. Fleming
AAML
69
33
0
16 Jun 2020
Online Parameter Estimation for Human Driver Behavior Prediction
Online Parameter Estimation for Human Driver Behavior Prediction
Raunak P. Bhattacharyya
Ransalu Senanayake
Kyle Brown
Mykel Kochenderfer
43
34
0
06 May 2020
Synthesis of Control Barrier Functions Using a Supervised Machine
  Learning Approach
Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach
Mohit Srinivasan
A. Dabholkar
Samuel Coogan
Patricio Vela
61
127
0
10 Mar 2020
Robust Regression for Safe Exploration in Control
Robust Regression for Safe Exploration in Control
Anqi Liu
Guanya Shi
Soon-Jo Chung
Anima Anandkumar
Yisong Yue
47
59
0
13 Jun 2019
Temporal Logic Guided Safe Reinforcement Learning Using Control Barrier
  Functions
Temporal Logic Guided Safe Reinforcement Learning Using Control Barrier Functions
Xiao Li
C. Belta
25
41
0
23 Mar 2019
End-to-End Safe Reinforcement Learning through Barrier Functions for
  Safety-Critical Continuous Control Tasks
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks
Richard Cheng
G. Orosz
R. Murray
J. W. Burdick
49
613
0
21 Mar 2019
Simulating Emergent Properties of Human Driving Behavior Using
  Multi-Agent Reward Augmented Imitation Learning
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning
Raunak P. Bhattacharyya
Derek J. Phillips
Changliu Liu
Jayesh K. Gupta
Katherine Driggs-Campbell
Mykel J. Kochenderfer
AI4CE
35
54
0
14 Mar 2019
Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction
  from Controlled Experiments and Crowded Campus
Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded Campus
Dongfang Yang
Linhui Li
Keith A. Redmill
Ü. Özgüner
47
90
0
01 Feb 2019
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories
  on German Highways for Validation of Highly Automated Driving Systems
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems
R. Krajewski
Julian Bock
Laurent Kloeker
L. Eckstein
70
982
0
11 Oct 2018
Multi-Agent Imitation Learning for Driving Simulation
Multi-Agent Imitation Learning for Driving Simulation
Raunak P. Bhattacharyya
Derek J. Phillips
Blake Wulfe
Jeremy Morton
Alex Kuefler
Mykel J. Kochenderfer
52
118
0
02 Mar 2018
CARLA: An Open Urban Driving Simulator
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
124
5,111
0
10 Nov 2017
Inverse Reward Design
Inverse Reward Design
Dylan Hadfield-Menell
S. Milli
Pieter Abbeel
Stuart J. Russell
Anca Dragan
67
394
0
08 Nov 2017
Safe Model-based Reinforcement Learning with Stability Guarantees
Safe Model-based Reinforcement Learning with Stability Guarantees
Felix Berkenkamp
M. Turchetta
Angela P. Schoellig
Andreas Krause
126
845
0
23 May 2017
AutonoVi: Autonomous Vehicle Planning with Dynamic Maneuvers and Traffic
  Constraints
AutonoVi: Autonomous Vehicle Planning with Dynamic Maneuvers and Traffic Constraints
A. Best
S. Narang
D. Barber
Tianyi Zhou
17
62
0
24 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
401
14,191
0
02 Dec 2016
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
111
3,089
0
10 Jun 2016
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