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Training Adversarial Agents to Exploit Weaknesses in Deep Control
  Policies

Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies

27 February 2020
Sampo Kuutti
Saber Fallah
Richard Bowden
    AAML
ArXivPDFHTML

Papers citing "Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies"

11 / 11 papers shown
Title
RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion
RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion
Jiawei Wang
Xintao Yan
Yao Mu
Haowei Sun
Zhong Cao
Henry X. Liu
114
0
0
06 May 2025
Realistic Safety-critical Scenarios Search for Autonomous Driving System
  via Behavior Tree
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
16
1
0
11 May 2023
Review of Metrics to Measure the Stability, Robustness and Resilience of
  Reinforcement Learning
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
11
2
0
22 Mar 2022
A Survey on Safety-Critical Driving Scenario Generation -- A
  Methodological Perspective
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
Wenhao Ding
Chejian Xu
Mansur Arief
Hao-ming Lin
Bo-wen Li
Ding Zhao
30
142
0
04 Feb 2022
A Survey on Scenario-Based Testing for Automated Driving Systems in
  High-Fidelity Simulation
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
38
60
0
02 Dec 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
27
39
0
16 Oct 2021
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance
  Systems
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance Systems
Ziyuan Zhong
Zhisheng Hu
Shengjian Guo
Xinyang Zhang
Zhenyu Zhong
Baishakhi Ray
AAML
20
23
0
14 Sep 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles
ARC: Adversarially Robust Control Policies for Autonomous Vehicles
Sampo Kuutti
Saber Fallah
Richard Bowden
AAML
22
5
0
09 Jul 2021
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving
  via Virtual Safety Cages
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages
Sampo Kuutti
Richard Bowden
Saber Fallah
33
14
0
17 Mar 2021
Adversarial Training is Not Ready for Robot Learning
Adversarial Training is Not Ready for Robot Learning
Mathias Lechner
Ramin Hasani
Radu Grosu
Daniela Rus
T. Henzinger
AAML
19
34
0
15 Mar 2021
Multimodal Safety-Critical Scenarios Generation for Decision-Making
  Algorithms Evaluation
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation
Wenhao Ding
Baiming Chen
Bo-wen Li
Kim Ji Eun
Ding Zhao
AAML
16
98
0
16 Sep 2020
1