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Improved Robustness and Safety for Autonomous Vehicle Control with
  Adversarial Reinforcement Learning

Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning

8 March 2019
Xiaobai Ma
Katherine Driggs-Campbell
Mykel J. Kochenderfer
    AAML
ArXivPDFHTML

Papers citing "Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning"

21 / 21 papers shown
Title
Where2Start: Leveraging initial States for Robust and Sample-Efficient
  Reinforcement Learning
Where2Start: Leveraging initial States for Robust and Sample-Efficient Reinforcement Learning
Pouya Parsa
Raoof Zare Moayedi
Mohammad Bornosi
Mohammad Mahdi Bejani
24
0
0
25 Nov 2023
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving
Linrui Zhang
Zhenghao Peng
Quanyi Li
Bolei Zhou
AAML
42
26
0
19 Oct 2023
MatrixWorld: A pursuit-evasion platform for safe multi-agent
  coordination and autocurricula
MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula
Lijun Sun
Yu-Cheng Chang
Chao Lyu
Chin-Teng Lin
Yuhui Shi
38
1
0
27 Jul 2023
Deep incremental learning models for financial temporal tabular datasets
  with distribution shifts
Deep incremental learning models for financial temporal tabular datasets with distribution shifts
Thomas Wong
Mauricio Barahona
OOD
AIFin
AI4TS
18
0
0
14 Mar 2023
Training Robots to Evaluate Robots: Example-Based Interactive Reward
  Functions for Policy Learning
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning
Kun-Yen Huang
E. Hu
Dinesh Jayaraman
OffRL
38
5
0
17 Dec 2022
Smoothing Policy Iteration for Zero-sum Markov Games
Smoothing Policy Iteration for Zero-sum Markov Games
Yangang Ren
Yao Lyu
Wenxuan Wang
Sheng Li
Zeyang Li
Jingliang Duan
31
1
0
03 Dec 2022
Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation
Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation
L. Zheng
Sanghyun Son
Ming-Chyuan Lin
35
3
0
07 Oct 2022
Measuring Interventional Robustness in Reinforcement Learning
Measuring Interventional Robustness in Reinforcement Learning
Katherine Avery
Jack Kenney
Pracheta Amaranath
Erica Cai
David D. Jensen
21
0
0
19 Sep 2022
Feasible Adversarial Robust Reinforcement Learning for Underspecified
  Environments
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments
JB Lanier
Stephen Marcus McAleer
Pierre Baldi
Roy Fox
24
9
0
19 Jul 2022
Robust AI Driving Strategy for Autonomous Vehicles
Robust AI Driving Strategy for Autonomous Vehicles
S. Nageshrao
Yousaf Rahman
V. Ivanovic
M. Janković
E. Tseng
M. Hafner
Dimitar Filev
39
4
0
16 Jul 2022
Robustness Analysis of Video-Language Models Against Visual and Language
  Perturbations
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
Madeline Chantry Schiappa
Shruti Vyas
Hamid Palangi
Yogesh S Rawat
Vibhav Vineet
VLM
123
17
0
05 Jul 2022
Large-scale Robustness Analysis of Video Action Recognition Models
Large-scale Robustness Analysis of Video Action Recognition Models
Madeline Chantry Schiappa
Naman Biyani
Prudvi Kamtam
Shruti Vyas
Hamid Palangi
Vibhav Vineet
Yogesh S Rawat
AAML
37
24
0
04 Jul 2022
Understanding the Impact of Edge Cases from Occluded Pedestrians for ML
  Systems
Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems
Jens Henriksson
C. Berger
Stig Ursing
16
3
0
26 Apr 2022
Performance Analysis of Out-of-Distribution Detection on Trained Neural
  Networks
Performance Analysis of Out-of-Distribution Detection on Trained Neural Networks
Jens Henriksson
C. Berger
Markus Borg
Lars Tornberg
S. Sathyamoorthy
Cristofer Englund
OODD
8
18
0
26 Apr 2022
Robust Imitation Learning from Corrupted Demonstrations
Robust Imitation Learning from Corrupted Demonstrations
Liu Liu
Ziyang Tang
Lanqing Li
Dijun Luo
33
12
0
29 Jan 2022
Off Environment Evaluation Using Convex Risk Minimization
Off Environment Evaluation Using Convex Risk Minimization
Pulkit Katdare
Shuijing Liu
Katherine Driggs-Campbell
15
2
0
21 Dec 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles
ARC: Adversarially Robust Control Policies for Autonomous Vehicles
Sampo Kuutti
Saber Fallah
Richard Bowden
AAML
30
5
0
09 Jul 2021
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning
  and Control of Autonomous Vehicles
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
Fei Ye
Shen Zhang
Pin Wang
Ching-yao Chan
22
54
0
29 May 2021
Evaluating Robustness over High Level Driving Instruction for Autonomous
  Driving
Evaluating Robustness over High Level Driving Instruction for Autonomous Driving
Florence Carton
David Filliat
Jaonary Rabarisoa
Q. C. Pham
ELM
19
2
0
20 May 2021
Improving Robustness of Deep Reinforcement Learning Agents: Environment
  Attack based on the Critic Network
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network
L. Schott
H. Hajri
Sylvain Lamprier
AAML
16
3
0
07 Apr 2021
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous
  Vehicles
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles
S. Aradi
210
436
0
30 Jan 2020
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