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Attacking Deep Reinforcement Learning-Based Traffic Signal Control
  Systems with Colluding Vehicles

Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles

4 November 2021
Ao Qu
Yihong Tang
Wei-Ying Ma
ArXiv (abs)PDFHTML

Papers citing "Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles"

14 / 14 papers shown
Title
Robust Reinforcement Learning on State Observations with Learned Optimal
  Adversary
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang
Hongge Chen
Duane S. Boning
Cho-Jui Hsieh
109
168
0
21 Jan 2021
Challenges and Countermeasures for Adversarial Attacks on Deep
  Reinforcement Learning
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Inaam Ilahi
Muhammad Usama
Junaid Qadir
M. Janjua
Ala I. Al-Fuqaha
D. Hoang
Dusit Niyato
AAML
138
135
0
27 Jan 2020
Dynamic Graph Configuration with Reinforcement Learning for Connected
  Autonomous Vehicle Trajectories
Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories
Udesh Gunarathna
Hairuo Xie
E. Tanin
S. Karunasekera
Renata Borovica-Gajic
29
4
0
14 Oct 2019
Integrating independent and centralized multi-agent reinforcement
  learning for traffic signal network optimization
Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization
Zhi Zhang
Jiachen Yang
H. Zha
44
43
0
23 Sep 2019
Adversarial Policies: Attacking Deep Reinforcement Learning
Adversarial Policies: Attacking Deep Reinforcement Learning
Adam Gleave
Michael Dennis
Cody Wild
Neel Kant
Sergey Levine
Stuart J. Russell
AAML
85
361
0
25 May 2019
Learning Phase Competition for Traffic Signal Control
Learning Phase Competition for Traffic Signal Control
Guanjie Zheng
Yuanhao Xiong
Xinshi Zang
J. Feng
Hua Wei
Huichu Zhang
Yong Li
Kai Xu
Z. Li
70
228
0
12 May 2019
Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal
  Control
Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control
Tianshu Chu
Jie Wang
Lara Codecà
Zhaojian Li
58
673
0
11 Mar 2019
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep
  Reinforcement Learning
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning
Vahid Behzadan
Arslan Munir
67
27
0
23 Oct 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
149
5,219
0
10 Nov 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
583
19,315
0
20 Jul 2017
Traffic Light Control Using Deep Policy-Gradient and Value-Function
  Based Reinforcement Learning
Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning
Seyed Sajad Mousavi
Michael Schukat
Enda Howley
78
307
0
28 Apr 2017
Deep Deterministic Policy Gradient for Urban Traffic Light Control
Deep Deterministic Policy Gradient for Urban Traffic Light Control
Noe Casas
76
168
0
27 Mar 2017
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks
Vahid Behzadan
Arslan Munir
AAMLSILM
94
278
0
16 Jan 2017
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
210
8,882
0
04 Feb 2016
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