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Multimodal Safety-Critical Scenarios Generation for Decision-Making
  Algorithms Evaluation
v1v2v3 (latest)

Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation

16 September 2020
Wenhao Ding
Baiming Chen
Yue Liu
Kim Ji Eun
Ding Zhao
    AAML
ArXiv (abs)PDFHTML

Papers citing "Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation"

26 / 26 papers shown
Title
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios
Baiming Chen
Xiang Chen
Qiong Wu
Liang-Sheng Li
AAML
69
96
0
14 Apr 2020
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating
  Method
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method
Wenhao Ding
Baiming Chen
Minjun Xu
Ding Zhao
52
114
0
02 Mar 2020
Training Adversarial Agents to Exploit Weaknesses in Deep Control
  Policies
Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies
Sampo Kuutti
Saber Fallah
Richard Bowden
AAML
44
49
0
27 Feb 2020
Efficient Black-box Assessment of Autonomous Vehicle Safety
Efficient Black-box Assessment of Autonomous Vehicle Safety
J. Norden
Matthew O'Kelly
Aman Sinha
84
66
0
08 Dec 2019
Learning Likelihoods with Conditional Normalizing Flows
Learning Likelihoods with Conditional Normalizing Flows
Christina Winkler
Daniel E. Worrall
Emiel Hoogeboom
Max Welling
TPM
223
225
0
29 Nov 2019
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories
  at German Intersections
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections
Julian Bock
R. Krajewski
Tobias Moers
Steffen Runde
Lennart Vater
L. Eckstein
AI4TS
75
364
0
18 Nov 2019
Benchmarking Batch Deep Reinforcement Learning Algorithms
Benchmarking Batch Deep Reinforcement Learning Algorithms
Shih-Han Chou
Wen-Yen Chang
W. Hsu
Jianlong Fu
OffRL
63
185
0
03 Oct 2019
Self-Supervised Exploration via Disagreement
Self-Supervised Exploration via Disagreement
Deepak Pathak
Dhiraj Gandhi
Abhinav Gupta
SSL
81
382
0
10 Jun 2019
Model-Based Reinforcement Learning for Atari
Model-Based Reinforcement Learning for Atari
Lukasz Kaiser
Mohammad Babaeizadeh
Piotr Milos
B. Osinski
R. Campbell
...
Sergey Levine
Afroz Mohiuddin
Ryan Sepassi
George Tucker
Henryk Michalewski
OffRL
132
861
0
01 Mar 2019
Adaptive Stress Testing for Autonomous Vehicles
Adaptive Stress Testing for Autonomous Vehicles
Mark Koren
Saud Alsaif
Ritchie Lee
Mykel J. Kochenderfer
50
195
0
05 Feb 2019
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
Matthew O'Kelly
Aman Sinha
Hongseok Namkoong
John C. Duchi
Russ Tedrake
82
217
0
31 Oct 2018
Model-Based Active Exploration
Model-Based Active Exploration
Pranav Shyam
Wojciech Ja'skowski
Faustino J. Gomez
86
179
0
29 Oct 2018
Are adversarial examples inevitable?
Are adversarial examples inevitable?
Ali Shafahi
Wenjie Huang
Christoph Studer
Soheil Feizi
Tom Goldstein
SILM
72
283
0
06 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDLDRL
295
3,134
0
09 Jul 2018
Adversarial vulnerability for any classifier
Adversarial vulnerability for any classifier
Alhussein Fawzi
Hamza Fawzi
Omar Fawzi
AAML
90
251
0
23 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
311
8,352
0
04 Jan 2018
Improving Exploration in Evolution Strategies for Deep Reinforcement
  Learning via a Population of Novelty-Seeking Agents
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Edoardo Conti
Vashisht Madhavan
F. Such
Joel Lehman
Kenneth O. Stanley
Jeff Clune
68
347
0
18 Dec 2017
CARLA: An Open Urban Driving Simulator
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
135
5,173
0
10 Nov 2017
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural
  Networks without Training Substitute Models
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models
Pin-Yu Chen
Huan Zhang
Yash Sharma
Jinfeng Yi
Cho-Jui Hsieh
AAML
80
1,882
0
14 Aug 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRMSSL
111
2,439
0
15 May 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
272
3,702
0
26 May 2016
Practical Black-Box Attacks against Machine Learning
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
S. Jha
Z. Berkay Celik
A. Swami
MLAUAAML
75
3,678
0
08 Feb 2016
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
199
8,859
0
04 Feb 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSegGAN
479
2,570
0
25 Jan 2016
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
320
13,248
0
09 Sep 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
127
12,231
0
19 Dec 2013
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