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1902.00089
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Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving
Transportation Research Part C: Emerging Technologies (TRC), 2019
29 January 2019
Meixin Zhu
Yinhai Wang
Ziyuan Pu
Jingyun Hu
X. Wang
Ruimin Ke
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Papers citing
"Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving"
50 / 63 papers shown
Title
Toward a Holistic Multi-Criteria Trajectory Evaluation Framework for Autonomous Driving in Mixed Traffic Environment
Nouhed Naidja
Stéphane Font
Marc Revilloud
Guillaume Sandou
56
0
0
01 Sep 2025
Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving
Ahmed Abouelazm
Jonas Michel
Helen Gremmelmaier
Tim Joseph
Philip Schorner
Johann Marius Zöllner
341
0
0
10 May 2025
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
Yuhan Li
Eugene Han
Yifan Hu
Wenzhuo Zhou
Zhengling Qi
Yifan Cui
Ruoqing Zhu
OffRL
865
0
0
01 May 2025
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
Zhuoren Li
Guizhe Jin
Ran Yu
Zhiwen Chen
Nan I. Li
...
Lu Xiong
Bo Leng
Jia Hu
Ilya Kolmanovsky
Dimitar Filev
211
1
0
31 Mar 2025
CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models
Zihao Sheng
Zilin Huang
Yansong Qu
Yen-Jung Chen
Sruthi Bhavanam
Sikai Chen
247
8
0
24 Feb 2025
One Stack, Diverse Vehicles: Checking Safe Portability of Automated Driving Software
IEEE/SICE International Symposium on System Integration (SII), 2025
Vladislav Nenchev
291
1
0
30 Jan 2025
From Words to Wheels: Automated Style-Customized Policy Generation for Autonomous Driving
Xu Han
Xianda Chen
Zhenghan Cai
Pinlong Cai
Meixin Zhu
Xiaowen Chu
153
1
0
18 Sep 2024
A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification Model
Accident Analysis and Prevention (Accid Anal Prev), 2024
Shuo Yang
Shizhen Li
Yanjun Huang
Hong Chen
147
8
0
23 Aug 2024
A Nested Graph Reinforcement Learning-based Decision-making Strategy for Eco-platooning
Xin Gao
Xueyuan Li
Hao Liu
Ao Li
Zhaoyang Ma
Zirui Li
118
1
0
14 Aug 2024
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors
IEEE Transactions on Intelligent Vehicles (TIV), 2024
Kunkun Hao
Yonggang Luo
Wen Cui
Yuqiao Bai
Jucheng Yang
Songyang Yan
Yuxi Pan
Zijiang Yang
AAML
347
31
0
06 Aug 2024
SECRM-2D: RL-Based Efficient and Comfortable Route-Following Autonomous Driving with Analytic Safety Guarantees
Tianyu Shi
Ilia Smirnov
Omar ElSamadisy
Baher Abdulhai
173
2
0
23 Jul 2024
EcoFollower: An Environment-Friendly Car Following Model Considering Fuel Consumption
Hui Zhong
Xianda Chen
PakHin Tiu
Hongliang Lu
Meixin Zhu
140
1
0
22 Jul 2024
Continual Learning for Adaptable Car-Following in Dynamic Traffic Environments
Xianda Chen
PakHin Tiu
Xu Han
Junjie Chen
Yuanfei Wu
Xinhu Zheng
Meixin Zhu
125
3
0
17 Jul 2024
Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control
Sicong Jiang
Seongjin Choi
Lijun Sun
183
2
0
12 Jul 2024
Adaptive Autopilot: Constrained DRL for Diverse Driving Behaviors
D. Selvaraj
Christian Vitale
T. Panayiotou
P. Kolios
Carla-Fabiana Chiasserini
Georgios Ellinas
90
1
0
02 Jul 2024
MetaFollower: Adaptable Personalized Autonomous Car Following
Xianda Chen
Kehua Chen
Meixin Zhu
Hao
Yang
Shaojie Shen
Xuesong Wang
Yinhai Wang
200
8
0
23 Jun 2024
EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems
Xianda Chen
Xu Han
Meixin Zhu
Xiaowen Chu
PakHin Tiu
Xinhu Zheng
Yinhai Wang
169
4
0
23 Jun 2024
Multi-Task Lane-Free Driving Strategy for Connected and Automated Vehicles: A Multi-Agent Deep Reinforcement Learning Approach
M. Berahman
M. Rostami-Shahrbabaki
Klaus Bogenberger
154
1
0
20 Jun 2024
GTP-UDrive: Unified Game-Theoretic Trajectory Planner and Decision-Maker for Autonomous Driving in Mixed Traffic Environments
Nouhed Naidja
Guillaume Sandou
Stéphane Font
Marc Revilloud
196
4
0
20 Jun 2024
Act Better by Timing: A timing-Aware Reinforcement Learning for Autonomous Driving
Guanzhou Li
Jianping Wu
Yujing He
167
0
0
19 Jun 2024
Generating and Evolving Reward Functions for Highway Driving with Large Language Models
Xu Han
Qiannan Yang
Xianda Chen
Xiaowen Chu
Meixin Zhu
234
7
0
15 Jun 2024
Shared learning of powertrain control policies for vehicle fleets
Lindsey Kerbel
B. Ayalew
Andrej Ivanco
125
2
0
27 Apr 2024
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
Ahmed Abouelazm
Jonas Michel
J. M. Zöllner
302
21
0
12 Apr 2024
CARL: Congestion-Aware Reinforcement Learning for Imitation-based Perturbations in Mixed Traffic Control
Bibek Poudel
Weizi Li
Shuai Li
357
12
0
31 Mar 2024
Deep Reinforcement Learning in Autonomous Car Path Planning and Control: A Survey
Yiyang Chen
Chao Ji
Yunrui Cai
Tong Yan
Bo Su
204
21
0
30 Mar 2024
Context-aware LLM-based Safe Control Against Latent Risks
Quang Khanh Luu
Xiyu Deng
Anh Van Ho
Yorie Nakahira
349
8
0
18 Mar 2024
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving
Zilin Huang
Zihao Sheng
Chengyuan Ma
Sikai Chen
339
56
0
06 Jan 2024
Parameterized Decision-making with Multi-modal Perception for Autonomous Driving
Yuyang Xia
Shuncheng Liu
Quanlin Yu
Liwei Deng
You Zhang
Han Su
Kai Zheng
214
56
0
19 Dec 2023
EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic Under Real-World Perturbations Via Reinforcement Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Bibek Poudel
Weizi Li
Kevin Heaslip
173
15
0
21 Nov 2023
Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part I: Communication-Aware Vehicle Control
Tong Liu
Lei Lei
Kan Zheng
Xuemin
X. Shen
150
11
0
19 Nov 2023
Combining Policy Gradient and Safety-Based Control for Autonomous Driving
Xi Xiong
Lu Liu
121
0
0
20 Oct 2023
Smart Roads: Roadside Perception, Vehicle-Road Cooperation and Business Model
IEEE Network (IEEE Netw.), 2023
Ruiqiu Chen
Lu Gao
Yutian Liu
Yong Liang Guan
Yan Zhang
63
4
0
19 Oct 2023
KI-PMF: Knowledge Integrated Plausible Motion Forecasting
Abhishek Vivekanandan
Ahmed Abouelazm
Philip Schorner
J. Marius Zöllner
247
5
0
18 Oct 2023
DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data
Chengjie Lu
T. Yue
Man Zhang
Shaukat Ali
141
12
0
08 Oct 2023
EnsembleFollower: A Hybrid Car-Following Framework Based On Reinforcement Learning and Hierarchical Planning
Xu Han
Xianda Chen
Meixin Zhu
Pinlong Cai
Jianshan Zhou
Xiaowen Chu
90
9
0
30 Aug 2023
Safety in Traffic Management Systems: A Comprehensive Survey
Wenlu Du
Ankan Dash
Jing Li
Hua Wei
Guiling Wang
106
23
0
11 Aug 2023
Communication-Efficient Zeroth-Order Distributed Online Optimization: Algorithm, Theory, and Applications
IEEE Access (IEEE Access), 2023
Ege C. Kaya
M. Sahin
Abolfazl Hashemi
134
4
0
09 Jun 2023
FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling
Scientific Data (Sci Data), 2023
Xianda Chen
Meixin Zhu
Kehua Chen
Pengqin Wang
Hongliang Lu
Hui Zhong
Xu Han
Yinhai Wang
199
67
0
25 May 2023
Vision-based DRL Autonomous Driving Agent with Sim2Real Transfer
Dian-Tao Li
Ostap Okhrin
214
5
0
19 May 2023
Traffic Shaping and Hysteresis Mitigation Using Deep Reinforcement Learning in a Connected Driving Environment
R. Ammourah
Alireza Talebpour
83
0
0
06 Feb 2023
Safe and Efficient Manoeuvring for Emergency Vehicles in Autonomous Traffic using Multi-Agent Proximal Policy Optimisation
L. Parada
Eduardo Candela
Luís Marques
Panagiotis Angeloudis
170
12
0
31 Oct 2022
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications
Transportmetrica B: Transport Dynamics (TBTD), 2022
Can Li
Mengwei He
L. Yao
S. Waller
Wei Liu
154
18
0
26 Oct 2022
Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation
IEEE International Conference on Robotics and Automation (ICRA), 2022
L. Zheng
Sanghyun Son
Ming-Chyuan Lin
319
5
0
07 Oct 2022
Modeling driver's evasive behavior during safety-critical lane changes:Two-dimensional time-to-collision and deep reinforcement learning
Accident Analysis and Prevention (Accid Anal Prev), 2022
Hongyu Guo
Kun Xie
M. Keyvan-Ekbatani
167
46
0
29 Sep 2022
Multisymplectic Formulation of Deep Learning Using Mean--Field Type Control and Nonlinear Stability of Training Algorithm
Nader Ganaba
103
0
0
07 Jul 2022
Vessel-following model for inland waterways based on deep reinforcement learning
Ocean Engineering (Ocean Eng.), 2022
Fabian Hart
Ostap Okhrin
M. Treiber
190
13
0
07 Jul 2022
AVDDPG: Federated reinforcement learning applied to autonomous platoon control
Christian Boin
Lei Lei
Simon X. Yang
179
5
0
05 Jul 2022
Autonomous Platoon Control with Integrated Deep Reinforcement Learning and Dynamic Programming
IEEE Internet of Things Journal (IEEE IoT J.), 2022
Tong Liu
Lei Lei
Kan Zheng
Kuan Zhang
256
36
0
15 Jun 2022
Reinforcement Learning with a Terminator
Neural Information Processing Systems (NeurIPS), 2022
Guy Tennenholtz
Nadav Merlis
Lior Shani
Shie Mannor
Uri Shalit
Gal Chechik
Assaf Hallak
Gal Dalal
153
5
0
30 May 2022
Deep Reinforcement Learning Aided Platoon Control Relying on V2X Information
IEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2022
Lei Lei
Tong Liu
Kan Zheng
L. Hanzo
233
39
0
28 Mar 2022
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