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2002.12078
Cited By
Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies
IEEE International Conference on Robotics and Automation (ICRA), 2020
27 February 2020
Sampo Kuutti
Saber Fallah
Richard Bowden
AAML
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Papers citing
"Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies"
25 / 25 papers shown
RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion
Jiawei Wang
Xintao Yan
Yao Mu
Haowei Sun
Zhong Cao
Henry X. Liu
985
1
0
06 May 2025
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
363
0
0
24 Mar 2025
Generative Modeling for Adversarial Lane-Change Scenarios
Chuancheng Zhang
Zhenhao Wang
Jiangcheng Wang
Kun Su
Qiang Lv
Bin Jiang
Kunkun Hao
Wenyu Wang
272
0
0
15 Mar 2025
Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions
IEEE International Conference on Robotics and Automation (ICRA), 2025
Zherui Huang
Xing Gao
Guanjie Zheng
Licheng Wen
Xuemeng Yang
Xingwu Sun
AAML
403
2
0
07 Mar 2025
Dynamically Expanding Capacity of Autonomous Driving with Near-Miss Focused Training Framework
Ziyuan Yang
Zhaoyang Li
Jianming Hu
Yi Zhang
219
1
0
05 Jun 2024
Training Adversarial yet Safe Agent to Characterize Safety Performance of Highly Automated Vehicles
Minghao Zhu
Anmol Sidhu
Keith A. Redmill
182
0
0
02 Feb 2024
Realistic Safety-critical Scenarios Search for Autonomous Driving System via Behavior Tree
Ping Zhang
Lingfeng Ming
Ting Yuan
Cong Qiu
Yang Li
Xinhua Hui
Zhi-qin Zhang
Chao Huang
156
3
0
11 May 2023
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey
barbara Schutt
Joshua Ransiek
Thilo Braun
Eric Sax
203
27
0
21 Apr 2023
A Deep Reinforcement Learning Approach to Rare Event Estimation
Anthony Corso
Kyu-Young Kim
Shubh Gupta
Grace Gao
Mykel J. Kochenderfer
220
1
0
22 Nov 2022
Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms
IEEE International Conference on Robotics and Automation (ICRA), 2022
Resul Dagdanov
Halil Durmus
N. K. Üre
340
6
0
29 Oct 2022
ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous Driving
Asian Test Symposium (ATS), 2022
Shuting Kang
Heng Guo
Lijun Zhang
Guangzhen Liu
Yunzhi Xue
Yanjun Wu
245
6
0
21 Sep 2022
On the Adversarial Scenario-based Safety Testing of Robots: the Comparability and Optimal Aggressiveness
IEEE Transactions on robotics (TRO), 2022
Bowen Weng
Guillermo A. Castillo
Wei Zhang
Ayonga Hereid
AAML
175
10
0
20 Sep 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
454
6
0
22 Mar 2022
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
Wenhao Ding
Chejian Xu
Mansur Arief
Hao-ming Lin
Yue Liu
Ding Zhao
752
252
0
04 Feb 2022
Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward
Weiling Liu
Ye Mu
Chao Yu
Xuefei Ning
Zhong Cao
Yi Wu
Shuang Liang
Huazhong Yang
Yu Wang
AAML
154
3
0
12 Dec 2021
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation
Ziyuan Zhong
Yun Tang
Yuan Zhou
V. Neves
Yang Liu
Baishakhi Ray
365
97
0
02 Dec 2021
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
221
47
0
16 Oct 2021
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance Systems
Ziyuan Zhong
Zhisheng Hu
Shengjian Guo
Xinyang Zhang
Zhenyu Zhong
Baishakhi Ray
AAML
296
30
0
14 Sep 2021
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles
Ziyuan Zhong
Gail E. Kaiser
Baishakhi Ray
386
105
0
13 Sep 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles
International Conference on Intelligent Transportation Systems (ITSC), 2021
Sampo Kuutti
Saber Fallah
Richard Bowden
AAML
191
8
0
09 Jul 2021
Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data
International Conference on Intelligent Transportation Systems (ITSC), 2021
Sampo Kuutti
Saber Fallah
Richard Bowden
GAN
243
5
0
09 Jul 2021
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages
Italian National Conference on Sensors (INS), 2021
Sampo Kuutti
Richard Bowden
Saber Fallah
236
14
0
17 Mar 2021
Adversarial Training is Not Ready for Robot Learning
IEEE International Conference on Robotics and Automation (ICRA), 2021
Mathias Lechner
Ramin Hasani
Radu Grosu
Daniela Rus
T. Henzinger
AAML
263
34
0
15 Mar 2021
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation
IEEE Robotics and Automation Letters (RA-L), 2020
Wenhao Ding
Baiming Chen
Yue Liu
Kim Ji Eun
Ding Zhao
AAML
388
121
0
16 Sep 2020
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems
Journal of Artificial Intelligence Research (JAIR), 2020
Anthony Corso
Robert J. Moss
Mark Koren
Ritchie Lee
Mykel J. Kochenderfer
395
203
0
06 May 2020
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