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Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle
  Validation
v1v2 (latest)

Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation

International Conference on Intelligent Transportation Systems (ITSC), 2019
2 August 2019
Anthony Corso
Peter Du
Katherine Driggs-Campbell
Mykel J. Kochenderfer
ArXiv (abs)PDFHTML

Papers citing "Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation"

48 / 48 papers shown
Aircraft Collision Avoidance Systems: Technological Challenges and Solutions on the Path to Regulatory Acceptance
Aircraft Collision Avoidance Systems: Technological Challenges and Solutions on the Path to Regulatory Acceptance
Sydney M. Katz
Robert J. Moss
Dylan M. Asmar
Wesley A. Olson
James K. Kuchar
Mykel J. Kochenderfer
117
0
0
23 Oct 2025
Efficient Safety Testing of Autonomous Vehicles via Adaptive Search over Crash-Derived Scenarios
Efficient Safety Testing of Autonomous Vehicles via Adaptive Search over Crash-Derived Scenarios
Rui Zhou
130
1
0
07 Aug 2025
Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions
Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion PredictionsIEEE International Conference on Robotics and Automation (ICRA), 2025
Albert Zhao
Stefano Soatto
DiffM
472
0
0
18 May 2025
Characterizing the Robustness of Black-Box LLM Planners Under Perturbed Observations with Adaptive Stress Testing
Characterizing the Robustness of Black-Box LLM Planners Under Perturbed Observations with Adaptive Stress Testing
Neeloy Chakraborty
John Pohovey
Melkior Ornik
Katherine Driggs-Campbell
421
0
0
08 May 2025
AED: Automatic Discovery of Effective and Diverse Vulnerabilities for Autonomous Driving Policy with Large Language Models
AED: Automatic Discovery of Effective and Diverse Vulnerabilities for Autonomous Driving Policy with Large Language Models
Le Qiu
Zelai Xu
Qixin Tan
Wenhao Tang
Xinlei Chen
Yu Wang
AAML
344
0
0
24 Mar 2025
Generating Critical Scenarios for Testing Automated Driving Systems
Generating Critical Scenarios for Testing Automated Driving Systems
Tien N Nguyen
Truong-Giang Vuong
Hong-Nam Duong
Son Nguyen
H. Vo
Toshiaki Aoki
Thu-Trang Nguyen
247
1
0
03 Dec 2024
Learning to Drive via Asymmetric Self-Play
Learning to Drive via Asymmetric Self-PlayEuropean Conference on Computer Vision (ECCV), 2024
Chris Zhang
Sourav Biswas
Kelvin Wong
Kion Fallah
Lunjun Zhang
Dian Chen
Sergio Casas
R. Urtasun
204
8
0
26 Sep 2024
Rethinking Robustness Assessment: Adversarial Attacks on Learning-based
  Quadrupedal Locomotion Controllers
Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers
Fan Shi
Chong Zhang
Takahiro Miki
Joonho Lee
Marco Hutter
Stelian Coros
AAML
393
30
0
21 May 2024
Flow-Based Synthesis of Reactive Tests for Discrete Decision-Making
  Systems with Temporal Logic Specifications
Flow-Based Synthesis of Reactive Tests for Discrete Decision-Making Systems with Temporal Logic Specifications
Josefine B. Graebener
Apurva Badithela
Denizalp Goktas
Wyatt Ubellacker
Eric V. Mazumdar
Aaron D. Ames
Richard M. Murray
161
3
0
15 Apr 2024
RADIUM: Predicting and Repairing End-to-End Robot Failures using
  Gradient-Accelerated Sampling
RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated SamplingIEEE Transactions on robotics (IEEE Trans. Robot.), 2024
Charles Dawson
Anjali Parashar
Chuchu Fan
166
0
0
04 Apr 2024
Life-long Learning and Testing for Automated Vehicles via Adaptive
  Scenario Sampling as A Continuous Optimization Process
Life-long Learning and Testing for Automated Vehicles via Adaptive Scenario Sampling as A Continuous Optimization Process
Jingwei Ge
Pengbo Wang
Chen Chang
Jianming Hu
Danya Yao
Li Li
198
1
0
28 Mar 2024
Reinforcement Learning for Online Testing of Autonomous Driving Systems:
  a Replication and Extension Study
Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study
L. Giamattei
Matteo Biagiola
R. Pietrantuono
S. Russo
Paolo Tonella
222
6
0
20 Mar 2024
Adaptive Testing Environment Generation for Connected and Automated
  Vehicles with Dense Reinforcement Learning
Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning
Jingxuan Yang
Ruoxuan Bai
Haoyuan Ji
Yi Zhang
Jianming Hu
Shuo Feng
260
8
0
29 Feb 2024
A novel framework for adaptive stress testing of autonomous vehicles in
  highways
A novel framework for adaptive stress testing of autonomous vehicles in highways
Linh Trinh
Q. Luu
Thai M. Nguyen
Hai L. Vu
319
0
0
19 Feb 2024
Attacking Motion Planners Using Adversarial Perception Errors
Attacking Motion Planners Using Adversarial Perception Errors
Jonathan Sadeghi
Nicholas A. Lord
John Redford
Romain Mueller
AAML
341
2
0
21 Nov 2023
Reinforcement Learning for Safety Testing: Lessons from A Mobile Robot
  Case Study
Reinforcement Learning for Safety Testing: Lessons from A Mobile Robot Case Study
Tom P. Huck
Martin Kaiser
Constantin Cronrath
Bengt Lennartson
Torsten Kröger
Tamim Asfour
150
1
0
06 Nov 2023
DeepQTest: Testing Autonomous Driving Systems with Reinforcement
  Learning and Real-world Weather Data
DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data
Chengjie Lu
T. Yue
Man Zhang
Shaukat Ali
230
14
0
08 Oct 2023
Continual Driving Policy Optimization with Closed-Loop Individualized
  Curricula
Continual Driving Policy Optimization with Closed-Loop Individualized CurriculaIEEE International Conference on Robotics and Automation (ICRA), 2023
Haoyi Niu
Yi Tian Xu
Xingjian Jiang
Jianming Hu
416
4
0
25 Sep 2023
Suicidal Pedestrian: Generation of Safety-Critical Scenarios for
  Autonomous Vehicles
Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles
Yuhang Yang
Kalle Kujanpää
Amin Babadi
Joni Pajarinen
Alexander Ilin
289
4
0
01 Sep 2023
ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure
  Events
ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure EventsIEEE Open Journal of Intelligent Transportation Systems (JOITS), 2023
Aizaz Sharif
D. Marijan
AAML
201
2
0
28 Aug 2023
Model-based Validation as Probabilistic Inference
Model-based Validation as Probabilistic InferenceConference on Learning for Dynamics & Control (L4DC), 2023
Harrison Delecki
Anthony Corso
Mykel J. Kochenderfer
152
8
0
17 May 2023
Conveying Autonomous Robot Capabilities through Contrasting Behaviour
  Summaries
Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries
Peter Du
S. Murthy
Katherine Driggs-Campbell
303
3
0
01 Apr 2023
Adaptive Failure Search Using Critical States from Domain Experts
Adaptive Failure Search Using Critical States from Domain ExpertsIEEE International Conference on Robotics and Automation (ICRA), 2021
Peter Du
Katherine Driggs-Campbell
302
11
0
01 Apr 2023
(Re)$^2$H2O: Autonomous Driving Scenario Generation via Reversely
  Regularized Hybrid Offline-and-Online Reinforcement Learning
(Re)2^22H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning
Haoyi Niu
Kun Ren
Yi Tian Xu
Ziyuan Yang
Yi-Hsin Lin
Yan Zhang
Jianming Hu
OffRL
256
10
0
27 Feb 2023
A Deep Reinforcement Learning Approach to Rare Event Estimation
A Deep Reinforcement Learning Approach to Rare Event Estimation
Anthony Corso
Kyu-Young Kim
Shubh Gupta
Grace Gao
Mykel J. Kochenderfer
207
1
0
22 Nov 2022
Rationale-aware Autonomous Driving Policy utilizing Safety Force Field
  implemented on CARLA Simulator
Rationale-aware Autonomous Driving Policy utilizing Safety Force Field implemented on CARLA Simulator
H. Suk
Taewoo Kim
Hyungbin Park
Pamul Yadav
Junyong Lee
Shiho Kim
124
4
0
18 Nov 2022
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled
  Systems
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled SystemsInternational Conference on Software Engineering (ICSE), 2022
Fitash Ul Haq
Donghwan Shin
Lionel C. Briand
OffRL
286
50
0
27 Oct 2022
On the Adversarial Scenario-based Safety Testing of Robots: the
  Comparability and Optimal Aggressiveness
On the Adversarial Scenario-based Safety Testing of Robots: the Comparability and Optimal AggressivenessIEEE Transactions on robotics (TRO), 2022
Bowen Weng
Guillermo A. Castillo
Wei Zhang
Ayonga Hereid
AAML
161
10
0
20 Sep 2022
Sample-Based Bounds for Coherent Risk Measures: Applications to Policy
  Synthesis and Verification
Sample-Based Bounds for Coherent Risk Measures: Applications to Policy Synthesis and VerificationArtificial Intelligence (AIJ), 2022
Prithvi Akella
Anushri Dixit
M. Ahmadi
J. W. Burdick
Aaron D. Ames
233
25
0
21 Apr 2022
On Safety Testing, Validation, and Characterization with
  Scenario-Sampling: A Case Study of Legged Robots
On Safety Testing, Validation, and Characterization with Scenario-Sampling: A Case Study of Legged RobotsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Bowen Weng
Guillermo A. Castillo
Wei Zhang
Ayonga Hereid
148
9
0
16 Apr 2022
Adversarial Deep Reinforcement Learning for Improving the Robustness of
  Multi-agent Autonomous Driving Policies
Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving PoliciesAsia-Pacific Software Engineering Conference (APSEC), 2021
Aizaz Sharif
D. Marijan
AAML
318
25
0
22 Dec 2021
Testing Robot System Safety by creating Hazardous Human Worker Behavior
  in Simulation
Testing Robot System Safety by creating Hazardous Human Worker Behavior in SimulationIEEE Robotics and Automation Letters (RA-L), 2021
Tom P. Huck
C. Ledermann
Torsten Kröger
275
19
0
29 Nov 2021
Finding Critical Scenarios for Automated Driving Systems: A Systematic
  Literature Review
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review
Xinhai Zhang
Jianbo Tao
Kaige Tan
Martin Törngren
José Manuel Gaspar Sánchez
...
Magnus Gyllenhammar
F. Wotawa
N. Mohan
Mihai Nica
Hermann Felbinger
200
47
0
16 Oct 2021
A Formal Characterization of Black-Box System Safety Performance with
  Scenario Sampling
A Formal Characterization of Black-Box System Safety Performance with Scenario Sampling
Bowen Weng
L. Capito
Ü. Özgüner
Keith A. Redmill
228
11
0
05 Oct 2021
Plane and Sample: Maximizing Information about Autonomous Vehicle
  Performance using Submodular Optimization
Plane and Sample: Maximizing Information about Autonomous Vehicle Performance using Submodular Optimization
Anne-Sophie Collin
A. Bin-Nun
R. D. Tebbens
202
5
0
15 Jun 2021
Safety of the Intended Driving Behavior Using Rulebooks
Safety of the Intended Driving Behavior Using Rulebooks
Anne-Sophie Collin
Artur Bilka
S. Pendleton
R. D. Tebbens
257
30
0
10 May 2021
Towards Guaranteed Safety Assurance of Automated Driving Systems with
  Scenario Sampling: An Invariant Set Perspective (Extended Version)
Towards Guaranteed Safety Assurance of Automated Driving Systems with Scenario Sampling: An Invariant Set Perspective (Extended Version)IEEE Transactions on Intelligent Vehicles (TIV), 2021
Bowen Weng
L. Capito
Ü. Özgüner
Keith A. Redmill
225
31
0
19 Apr 2021
Certified Control: An Architecture for Verifiable Safety of Autonomous
  Vehicles
Certified Control: An Architecture for Verifiable Safety of Autonomous Vehicles
Daniel Jackson
Valerie Richmond
Mike Wang
Jeff Chow
Uriel Guajardo
Soonho Kong
S. Campos
Geoffrey Litt
Nikos Arechiga
138
5
0
29 Mar 2021
Generating and Characterizing Scenarios for Safety Testing of Autonomous
  Vehicles
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Zahra Ghodsi
S. Hari
I. Frosio
Timothy Tsai
Alejandro J. Troccoli
S. Keckler
S. Garg
Anima Anandkumar
165
51
0
12 Mar 2021
Virtual Adversarial Humans finding Hazards in Robot Workplaces
Virtual Adversarial Humans finding Hazards in Robot WorkplacesIEEE International Conference on Robotics and Automation (ICRA), 2021
Tom P. Huck
C. Ledermann
Torsten Kröger
132
4
0
01 Mar 2021
Explainability of deep vision-based autonomous driving systems: Review
  and challenges
Explainability of deep vision-based autonomous driving systems: Review and challengesInternational Journal of Computer Vision (IJCV), 2021
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
511
218
0
13 Jan 2021
Discovering Avoidable Planner Failures of Autonomous Vehicles using
  Counterfactual Analysis in Behaviorally Diverse Simulation
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation
D. Nishiyama
M. Castro
Shirou Maruyama
Shinya Shiroshita
Karim Hamzaoui
Yi Ouyang
Guy Rosman
Jonathan A. DeCastro
Kuan-Hui Lee
Adrien Gaidon
144
8
0
24 Nov 2020
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical
  Systems
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical SystemsJournal of Artificial Intelligence Research (JAIR), 2020
Anthony Corso
Robert J. Moss
Mark Koren
Ritchie Lee
Mykel J. Kochenderfer
346
201
0
06 May 2020
Search-based Test-Case Generation by Monitoring Responsibility Safety
  Rules
Search-based Test-Case Generation by Monitoring Responsibility Safety Rules
Mohammad Hekmatnejad
Bardh Hoxha
Georgios Fainekos
204
17
0
25 Apr 2020
Interpretable Safety Validation for Autonomous Vehicles
Interpretable Safety Validation for Autonomous Vehicles
Anthony Corso
Mykel J. Kochenderfer
193
29
0
14 Apr 2020
Scalable Autonomous Vehicle Safety Validation through Dynamic
  Programming and Scene Decomposition
Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition
Anthony Corso
Ritchie Lee
Mykel J. Kochenderfer
266
24
0
14 Apr 2020
Adaptive Stress Testing without Domain Heuristics using Go-Explore
Adaptive Stress Testing without Domain Heuristics using Go-Explore
Mark Koren
Mykel J. Kochenderfer
265
19
0
08 Apr 2020
Automatic Testing With Reusable Adversarial Agents
Automatic Testing With Reusable Adversarial Agents
Xin Qin
Nikos Aréchiga
A. Best
Jyotirmoy Deshmukh
TTAAAML
280
7
0
30 Oct 2019
1
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