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1704.02532
Cited By
Deep Reinforcement Learning framework for Autonomous Driving
8 April 2017
Ahmad El-Sallab
Mohammed Abdou
E. Perot
S. Yogamani
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Papers citing
"Deep Reinforcement Learning framework for Autonomous Driving"
50 / 297 papers shown
Title
Curriculum Proximal Policy Optimization with Stage-Decaying Clipping for Self-Driving at Unsignalized Intersections
Zeng Peng
Xiao Zhou
Yubin Wang
Lei Zheng
Ming-Yu Liu
Jun Ma
16
6
0
31 Aug 2023
MARLIM: Multi-Agent Reinforcement Learning for Inventory Management
Rémi Leluc
Elie Kadoche
A. Bertoncello
Sébastien Gourvénec
21
2
0
03 Aug 2023
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
Yu Chen
Yihan Du
Pihe Hu
Si-Yi Wang
De-hui Wu
Longbo Huang
24
6
0
06 Jul 2023
Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers
Yongqi Dong
Tobias Datema
Vincent Wassenaar
Joris van de Weg
Cahit Tolga Kopar
Harim Suleman
OffRL
24
0
0
20 Jun 2023
Inroads into Autonomous Network Defence using Explained Reinforcement Learning
Myles Foley
Miaowei Wang
M. Zoe
Chris Hicks
V. Mavroudis
AAML
13
13
0
15 Jun 2023
Timing Process Interventions with Causal Inference and Reinforcement Learning
Hans Weytjens
Wouter Verbeke
Jochen De Weerdt
OffRL
24
2
0
07 Jun 2023
TorchRL: A data-driven decision-making library for PyTorch
Albert Bou
Matteo Bettini
Sebastian Dittert
Vikash Kumar
Shagun Sodhani
Xiaomeng Yang
Gianni De Fabritiis
Vincent Moens
OffRL
AI4CE
24
37
0
01 Jun 2023
Multi-environment lifelong deep reinforcement learning for medical imaging
Guangyao Zheng
Shuhao Lai
Vladimir Braverman
M. Jacobs
Vishwa S. Parekh
VLM
OffRL
CLL
16
1
0
31 May 2023
Policy Optimization for Continuous Reinforcement Learning
Hanyang Zhao
Wenpin Tang
D. Yao
OffRL
32
17
0
30 May 2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning
Hang Xu
Xinghua Qu
Zinovi Rabinovich
26
1
0
24 Apr 2023
Uncertainty-driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning
Junjie Zhang
Jiafei Lyu
Xiaoteng Ma
Jiangpeng Yan
Jun Yang
Le Wan
Xiu Li
OffRL
13
5
0
10 Apr 2023
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring
Runzhe Wan
Yu Liu
James McQueen
Doug Hains
Rui Song
OffRL
30
4
0
02 Apr 2023
Sequential Knockoffs for Variable Selection in Reinforcement Learning
Tao Ma
Hengrui Cai
Zhengling Qi
C. Shi
Eric B. Laber
26
3
0
24 Mar 2023
Communication Load Balancing via Efficient Inverse Reinforcement Learning
Abhisek Konar
Di Wu
Yi Tian Xu
Seowoo Jang
Steve Liu
Gregory Dudek
24
1
0
22 Mar 2023
Reducing Safety Interventions in Provably Safe Reinforcement Learning
Jakob Thumm
Guillaume Pelat
Matthias Althoff
17
3
0
06 Mar 2023
Differentiable Trajectory Generation for Car-like Robots with Interpolating Radial Basis Function Networks
Hongrui Zheng
Rahul Mangharam
20
1
0
02 Mar 2023
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging
Guangyao Zheng
Samson Zhou
Vladimir Braverman
M. Jacobs
V. Parekh
OffRL
CLL
24
3
0
22 Feb 2023
Review of Deep Reinforcement Learning for Autonomous Driving
B. Udugama
32
3
0
13 Feb 2023
Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach
Yigit Gurses
Kaan Buyukdemirci
Y. Yildiz
31
5
0
04 Feb 2023
SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning
Q. Zhang
Linrui Zhang
Haoran Xu
Li Shen
Bowen Wang
Yongzhe Chang
Xueqian Wang
Bo Yuan
Dacheng Tao
OffRL
23
16
0
28 Jan 2023
Online Learning in Stackelberg Games with an Omniscient Follower
Geng Zhao
Banghua Zhu
Jiantao Jiao
Michael I. Jordan
35
14
0
27 Jan 2023
Certifiably Robust Reinforcement Learning through Model-Based Abstract Interpretation
Chenxi Yang
Greg Anderson
Swarat Chaudhuri
29
1
0
26 Jan 2023
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles
Peter Karkus
Boris Ivanovic
Shie Mannor
Marco Pavone
36
45
0
13 Dec 2022
A Review of Off-Policy Evaluation in Reinforcement Learning
Masatoshi Uehara
C. Shi
Nathan Kallus
OffRL
36
47
0
13 Dec 2022
Near-Optimal Differentially Private Reinforcement Learning
Dan Qiao
Yu-Xiang Wang
30
13
0
09 Dec 2022
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?
Songyang Han
Sanbao Su
Sihong He
Shuo Han
Haizhao Yang
Shaofeng Zou
Fei Miao
AAML
30
22
0
06 Dec 2022
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators
Jiachen Li
Edwin Zhang
Ming Yin
Qinxun Bai
Yu-Xiang Wang
William Yang Wang
OffRL
33
15
0
29 Nov 2022
Wall Street Tree Search: Risk-Aware Planning for Offline Reinforcement Learning
D. Elbaz
Gal Novik
Oren Salzman
OffRL
27
0
0
06 Nov 2022
Knowledge-Guided Exploration in Deep Reinforcement Learning
Sahisnu Mazumder
Bing-Quan Liu
Shuai Wang
Yingxuan Zhu
Xiaotian Yin
Lifeng Liu
Jian Li
43
4
0
26 Oct 2022
Integrated Decision and Control for High-Level Automated Vehicles by Mixed Policy Gradient and Its Experiment Verification
Yang Guan
Liye Tang
Chuanxiao Li
Shengbo Eben Li
Yangang Ren
Junqing Wei
Bo Zhang
Ke Li
18
0
0
19 Oct 2022
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness
Haotian Ye
Xiaoyu Chen
Liwei Wang
S. Du
OffRL
26
6
0
19 Oct 2022
On the convergence of policy gradient methods to Nash equilibria in general stochastic games
Angeliki Giannou
Kyriakos Lotidis
P. Mertikopoulos
Emmanouil-Vasileios Vlatakis-Gkaragkounis
32
17
0
17 Oct 2022
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets
Chen Gong
Zhou Yang
Yunru Bai
Junda He
Jieke Shi
...
Arunesh Sinha
Bowen Xu
Xinwen Hou
David Lo
Guoliang Fan
AAML
OffRL
21
7
0
07 Oct 2022
A New Approach to Training Multiple Cooperative Agents for Autonomous Driving
Ruiyang Yang
Siheng Li
Beihong Jin
26
0
0
05 Sep 2022
Prediction Based Decision Making for Autonomous Highway Driving
Mustafa Yildirim
Sajjad Mozaffari
Lucy McCutcheon
M. Dianati
Alireza Tamaddoni-Nezhad Saber Fallah
16
7
0
05 Sep 2022
Deep Anomaly Detection and Search via Reinforcement Learning
Chao Chen
Dawei Wang
Feng Mao
Zongzhang Zhang
Yang Yu
21
0
0
31 Aug 2022
COMET: Coverage-guided Model Generation For Deep Learning Library Testing
Meiziniu Li
Jialun Cao
Yongqiang Tian
T. Li
Ming Wen
Shing-Chi Cheung
VLM
18
19
0
02 Aug 2022
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning
Shuang Qiu
Lingxiao Wang
Chenjia Bai
Zhuoran Yang
Zhaoran Wang
SSL
OffRL
26
32
0
29 Jul 2022
ARtonomous: Introducing Middle School Students to Reinforcement Learning Through Virtual Robotics
Griffin Dietz
J. K. Chen
Jazbo Beason
Matthew Tarrow
Adriana Hilliard
R. Benjamin Shapiro
11
8
0
18 Jul 2022
Interaction-aware Decision-making for Automated Vehicles using Social Value Orientation
Luca Crosato
Hubert P. H. Shum
Edmond S. L. Ho
Chongfeng Wei
16
50
0
12 Jul 2022
Frequency Domain Model Augmentation for Adversarial Attack
Yuyang Long
Qi-li Zhang
Boheng Zeng
Lianli Gao
Xianglong Liu
Jian Zhang
Jingkuan Song
AAML
26
154
0
12 Jul 2022
"Curse of rarity" for autonomous vehicles
Henry X. Liu
Shuo Feng
19
52
0
06 Jul 2022
AVDDPG: Federated reinforcement learning applied to autonomous platoon control
Christian Boin
Lei Lei
Simon X. Yang
21
4
0
05 Jul 2022
Tackling Real-World Autonomous Driving using Deep Reinforcement Learning
Paolo Maramotti
Alessandro Paolo Capasso
Giulio Bacchiani
A. Broggi
38
9
0
05 Jul 2022
"Even if ..." -- Diverse Semifactual Explanations of Reject
André Artelt
Barbara Hammer
33
12
0
05 Jul 2022
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions
Mingzhe Hu
Jiahan Zhang
L. Matkovic
Tian Liu
Xiaofeng Yang
OffRL
28
53
0
28 Jun 2022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems
Yanchao Sun
Ruijie Zheng
Parisa Hassanzadeh
Yongyuan Liang
S. Feizi
Sumitra Ganesh
Furong Huang
AAML
28
10
0
21 Jun 2022
Constrained Reinforcement Learning for Robotics via Scenario-Based Programming
Davide Corsi
Raz Yerushalmi
Guy Amir
Alessandro Farinelli
D. Harel
Guy Katz
24
19
0
20 Jun 2022
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing
Yuke Wang
Boyuan Feng
Zhilin Wang
Tong Geng
Ang Li
Yufei Ding
AI4CE
49
0
0
16 Jun 2022
Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection
Abderrahmen Amich
Ata Kaboudi
Birhanu Eshete
AAML
OODD
15
1
0
15 Jun 2022
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