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Model-free Deep Reinforcement Learning for Urban Autonomous Driving

Model-free Deep Reinforcement Learning for Urban Autonomous Driving

20 April 2019
Jianyu Chen
Bodi Yuan
Masayoshi Tomizuka
ArXivPDFHTML

Papers citing "Model-free Deep Reinforcement Learning for Urban Autonomous Driving"

46 / 46 papers shown
Title
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning
Ahmed Abouelazm
Tim Weinstein
Tim Joseph
Philip Schorner
J. M. Zöllner
34
0
0
13 May 2025
DSADF: Thinking Fast and Slow for Decision Making
DSADF: Thinking Fast and Slow for Decision Making
Alex Zhihao Dou
Dongfei Cui
Jun Yan
Wei Wang
Benteng Chen
Haoming Wang
Zeke Xie
Shufei Zhang
OffRL
43
1
0
13 May 2025
Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving
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
26
0
0
10 May 2025
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
Shiqi Lei
Kanghon Lee
Linjing Li
Jinkyoo Park
OffRL
42
0
0
17 Feb 2025
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
Shiqi Lei
Kanghoon Lee
Linjing Li
Jinkyoo Park
Jiachen Li
OffRL
31
1
0
28 Feb 2024
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent
  World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)
Qifeng Li
Xiaosong Jia
Shaobo Wang
Junchi Yan
45
27
0
26 Feb 2024
Efficient and Generalized end-to-end Autonomous Driving System with
  Latent Deep Reinforcement Learning and Demonstrations
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
Zuojin Tang
Xiaoyu Chen
YongQiang Li
Jianyu Chen
26
2
0
22 Jan 2024
Agent-Aware Training for Agent-Agnostic Action Advising in Deep
  Reinforcement Learning
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning
Yaoquan Wei
Shunyu Liu
Mingli Song
Tongya Zheng
Kaixuan Chen
Yong Wang
Mingli Song
25
0
0
28 Nov 2023
Decision-Making for Autonomous Vehicles with Interaction-Aware
  Behavioral Prediction and Social-Attention Neural Network
Decision-Making for Autonomous Vehicles with Interaction-Aware Behavioral Prediction and Social-Attention Neural Network
Xiao Li
Kaiwen Liu
H. E. Tseng
Anouck Girard
Ilya Kolmanovsky
34
3
0
31 Oct 2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial
  Traffic Flow
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow
Dongkun Zhang
Jintao Xue
Yuxiang Cui
Yunkai Wang
Eryun Liu
Wei Jing
Junbo Chen
R. Xiong
Yue Wang
44
0
0
25 Apr 2023
Integrated Behavior Planning and Motion Control for Autonomous Vehicles
  with Traffic Rules Compliance
Integrated Behavior Planning and Motion Control for Autonomous Vehicles with Traffic Rules Compliance
Haichao Liu
Kai Chen
Yuling Li
Zhen Huang
Jianghua Duan
Jun Ma
27
11
0
03 Apr 2023
CAT:Collaborative Adversarial Training
CAT:Collaborative Adversarial Training
Xingbin Liu
Huafeng Kuang
Xianming Lin
Yongjian Wu
Rongrong Ji
AAML
22
4
0
27 Mar 2023
Chance-Aware Lane Change with High-Level Model Predictive Control
  Through Curriculum Reinforcement Learning
Chance-Aware Lane Change with High-Level Model Predictive Control Through Curriculum Reinforcement Learning
Yubin Wang
Yuling Li
Y. Massoud
Hakim Ghazzai
Jun Ma
16
5
0
07 Mar 2023
Parallel Optimization with Hard Safety Constraints for Cooperative
  Planning of Connected Autonomous Vehicles
Parallel Optimization with Hard Safety Constraints for Cooperative Planning of Connected Autonomous Vehicles
Zhen Huang
Haichao Liu
Shaojie Shen
Jun Ma
18
3
0
06 Mar 2023
Developing Driving Strategies Efficiently: A Skill-Based Hierarchical
  Reinforcement Learning Approach
Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach
Yigit Gurses
Kaan Buyukdemirci
Y. Yildiz
31
5
0
04 Feb 2023
Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable
  Automated Driving
Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving
Dikshant Gupta
Matthias Klusch
23
2
0
30 Dec 2022
Representation Learning for Continuous Action Spaces is Beneficial for
  Efficient Policy Learning
Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning
Tingting Zhao
Ying Wang
Weidong Sun
Yarui Chen
Gang Niu
Masashi Sugiyama
19
1
0
23 Nov 2022
Integrated Decision and Control for High-Level Automated Vehicles by
  Mixed Policy Gradient and Its Experiment Verification
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
23
0
0
19 Oct 2022
Boosting Exploration in Actor-Critic Algorithms by Incentivizing
  Plausible Novel States
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States
C. Banerjee
Zhiyong Chen
N. Noman
28
3
0
01 Oct 2022
Augmenting Reinforcement Learning with Transformer-based Scene
  Representation Learning for Decision-making of Autonomous Driving
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving
Haochen Liu
Zhiyu Huang
Xiaoyu Mo
Chen Lv
ViT
OffRL
35
34
0
24 Aug 2022
Exploring the trade off between human driving imitation and safety for
  traffic simulation
Exploring the trade off between human driving imitation and safety for traffic simulation
Yann Koeberle
S. Sabatini
D. Tsishkou
C. Sabourin
33
4
0
09 Aug 2022
Adaptive Decision Making at the Intersection for Autonomous Vehicles
  Based on Skill Discovery
Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery
Xianqi He
Ling Yang
Chao Lu
Zirui Li
Jian-wei Gong
29
1
0
24 Jul 2022
Interaction-aware Decision-making for Automated Vehicles using Social
  Value Orientation
Interaction-aware Decision-making for Automated Vehicles using Social Value Orientation
Luca Crosato
Hubert P. H. Shum
Edmond S. L. Ho
Chongfeng Wei
22
50
0
12 Jul 2022
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU
  Spatial Multiplexing
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
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent
  Decision-Making in Mixed Traffic Environments
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments
Qi Liu
Zirui Li
Xueyuan Li
Jingda Wu
Shihua Yuan
AI4CE
39
8
0
30 Jan 2022
Towards Learning Generalizable Driving Policies from Restricted Latent
  Representations
Towards Learning Generalizable Driving Policies from Restricted Latent Representations
Behrad Toghi
Rodolfo Valiente
Ramtin Pedarsani
Y. P. Fallah
29
5
0
05 Nov 2021
Semi-Supervised Imitation Learning with Mixed Qualities of
  Demonstrations for Autonomous Driving
Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving
Gunmin Lee
Wooseok Oh
Seungyoung Shin
Dohyeong Kim
Jeongwoo Oh
Jaeyeon Jeong
Sungjoon Choi
Songhwai Oh
SSL
39
2
0
23 Sep 2021
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for
  Planning, Control, and Simulation
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation
A. Kamenev
Lirui Wang
Ollin Boer Bohan
Ishwar Kulkarni
Bilal Kartal
Artem Molchanov
Stan Birchfield
David Nistér
Nikolai Smolyanskiy
45
40
0
23 Sep 2021
Hierarchical Policy for Non-prehensile Multi-object Rearrangement with
  Deep Reinforcement Learning and Monte Carlo Tree Search
Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search
Fan Bai
Fei Meng
Jianbang Liu
Jiankun Wang
Max Q.-H. Meng
23
6
0
18 Sep 2021
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive
  Deep Reinforcement Learning
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning
Peide Cai
Sukai Wang
Hengli Wang
Ming Liu
AI4TS
24
15
0
17 Sep 2021
Vision Transformer for Learning Driving Policies in Complex Multi-Agent
  Environments
Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments
E. Kargar
Ville Kyrki
ViT
31
13
0
14 Sep 2021
Encoding Distributional Soft Actor-Critic for Autonomous Driving in
  Multi-lane Scenarios
Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-lane Scenarios
Jingliang Duan
Yangang Ren
Fawang Zhang
Yang Guan
Dongjie Yu
Shengbo Eben Li
B. Cheng
Lin Zhao
23
7
0
12 Sep 2021
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep
  Q-Learning and Graph Attention Networks
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks
Peide Cai
Hengli Wang
Yuxiang Sun
Ming Liu
GNN
35
39
0
11 Aug 2021
Reinforcement Learning for Autonomous Driving with Latent State
  Inference and Spatial-Temporal Relationships
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships
Xiaobai Ma
Jiachen Li
Mykel J. Kochenderfer
David Isele
K. Fujimura
21
61
0
09 Nov 2020
Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning
Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning
C. de Souza
Rhys Newbury
Akansel Cosgun
P. Castillo
B. Vidolov
Dana Kulić
53
90
0
16 Oct 2020
A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a
  Graphic Convolution Q Network
A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network
Jiqian Dong
Sikai Chen
P. Ha
Yujie Li
S. Labi
13
37
0
12 Oct 2020
Facilitating Connected Autonomous Vehicle Operations Using
  Space-weighted Information Fusion and Deep Reinforcement Learning Based
  Control
Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control
Jiqian Dong
Sikai Chen
Yujie Li
Runjia Du
Aaron Steinfeld
S. Labi
26
11
0
30 Sep 2020
MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive
  Strategies for Urban Autonomous Navigation
MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation
Xiaoyi Chen
Pratik Chaudhari
31
4
0
17 Aug 2020
Reinforcement Learning based Control of Imitative Policies for
  Near-Accident Driving
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
Zhangjie Cao
Erdem Biyik
Woodrow Z. Wang
Allan Raventos
Adrien Gaidon
Guy Rosman
Dorsa Sadigh
34
65
0
01 Jul 2020
Towards Safer Self-Driving Through Great PAIN (Physically Adversarial
  Intelligent Networks)
Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks)
Piyush B. Gupta
Demetris Coleman
J. Siegel
AAML
29
16
0
24 Mar 2020
End-to-end Autonomous Driving Perception with Sequential Latent
  Representation Learning
End-to-end Autonomous Driving Perception with Sequential Latent Representation Learning
Jianyu Chen
Zhuo Xu
Masayoshi Tomizuka
BDL
30
13
0
21 Mar 2020
Task-Motion Planning for Safe and Efficient Urban Driving
Task-Motion Planning for Safe and Efficient Urban Driving
Yan Ding
Xiaohan Zhang
Xingyue Zhan
Shiqi Zhang
27
19
0
08 Mar 2020
Autonomous Driving at Intersections: A Critical-Turning-Point Approach
  for Left Turns
Autonomous Driving at Intersections: A Critical-Turning-Point Approach for Left Turns
Keqi Shu
Huilong Yu
Xingxin Chen
Long Chen
Qi Wang
Li Li
Dongpu Cao
116
31
0
05 Mar 2020
Towards Learning Multi-agent Negotiations via Self-Play
Towards Learning Multi-agent Negotiations via Self-Play
Yichuan Tang
19
33
0
28 Jan 2020
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning
Matthew Benatan
Edward O. Pyzer-Knapp
BDL
24
6
0
08 Nov 2019
Driving in Dense Traffic with Model-Free Reinforcement Learning
Driving in Dense Traffic with Model-Free Reinforcement Learning
D. Saxena
S. Bae
A. Nakhaei
K. Fujimura
Maxim Likhachev
27
86
0
15 Sep 2019
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