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Multi-Agent Connected Autonomous Driving using Deep Reinforcement
  Learning

Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning

11 November 2019
Praveen Palanisamy
ArXivPDFHTML

Papers citing "Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning"

50 / 67 papers shown
Title
Sky-Drive: A Distributed Multi-Agent Simulation Platform for Socially-Aware and Human-AI Collaborative Future Transportation
Sky-Drive: A Distributed Multi-Agent Simulation Platform for Socially-Aware and Human-AI Collaborative Future Transportation
Zilin Huang
Zihao Sheng
Zhengyang Wan
Yansong Qu
Yuhao Luo
...
Jiancong Chen
Keke Long
Jiayi Meng
Yue Leng
Sikai Chen
61
0
0
25 Apr 2025
Getting SMARTER for Motion Planning in Autonomous Driving Systems
Getting SMARTER for Motion Planning in Autonomous Driving Systems
Montgomery Alban
Ehsan Ahmadi
Randy Goebel
Amir Rasouli
41
0
0
20 Feb 2025
Preference-Based Multi-Agent Reinforcement Learning: Data Coverage and Algorithmic Techniques
Preference-Based Multi-Agent Reinforcement Learning: Data Coverage and Algorithmic Techniques
Natalia Zhang
X. Wang
Qiwen Cui
Runlong Zhou
Sham Kakade
Simon S. Du
OffRL
48
0
0
10 Jan 2025
An End-to-End Collaborative Learning Approach for Connected Autonomous
  Vehicles in Occluded Scenarios
An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios
L. Parada
Hanlin Tian
Jose Escribano
Panagiotis Angeloudis
88
1
0
11 Dec 2024
LiDAR Inertial Odometry And Mapping Using Learned Registration-Relevant
  Features
LiDAR Inertial Odometry And Mapping Using Learned Registration-Relevant Features
Zihao Dong
Jeff Pflueger
Leonard Jung
David Thorne
Philip R. Osteen
Christa S. Robison
Brett T. Lopez
Michael Everett
31
0
0
03 Oct 2024
Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review
Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review
Joshua Ransiek
Philipp Reis
Tobias Schürmann
Eric Sax
75
0
0
21 Sep 2024
MUSES: 3D-Controllable Image Generation via Multi-Modal Agent
  Collaboration
MUSES: 3D-Controllable Image Generation via Multi-Modal Agent Collaboration
Yanbo Ding
Shaobin Zhuang
Kunchang Li
Zhengrong Yue
Yu Qiao
Yali Wang
VGen
32
2
0
20 Aug 2024
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
Ruiqi Zhang
Jing Hou
Florian Walter
Shangding Gu
Jiayi Guan
Florian Röhrbein
Yali Du
Panpan Cai
G. Chen
Alois Knoll
46
12
0
19 Aug 2024
GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS
GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS
Saman Kazemkhani
Aarav Pandya
Daphne Cornelisse
Brennan Shacklett
Eugene Vinitsky
44
8
0
02 Aug 2024
B2MAPO: A Batch-by-Batch Multi-Agent Policy Optimization to Balance
  Performance and Efficiency
B2MAPO: A Batch-by-Batch Multi-Agent Policy Optimization to Balance Performance and Efficiency
Wenjing Zhang
Wei Zhang
Wenqing Hu
Yifan Wang
OffRL
23
0
0
21 Jul 2024
A Measure for Level of Autonomy Based on Observable System Behavior
A Measure for Level of Autonomy Based on Observable System Behavior
Jason M. Pittman
14
0
0
20 Jul 2024
Locally Interdependent Multi-Agent MDP: Theoretical Framework for
  Decentralized Agents with Dynamic Dependencies
Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
Alex DeWeese
Guannan Qu
32
2
0
10 Jun 2024
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving
  with Reactive, Realistic, and Diverse Non-Playable Characters
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters
J. Lavington
Ke Zhang
Vasileios Lioutas
Matthew Niedoba
Yunpeng Liu
...
Xiaoxuan Liang
Setareh Dabiri
Adam Scibior
Berend Zwartsenberg
Frank D. Wood
29
5
0
07 May 2024
SwiftRL: Towards Efficient Reinforcement Learning on Real
  Processing-In-Memory Systems
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems
Kailash Gogineni
Sai Santosh Dayapule
Juan Gómez Luna
Karthikeya Gogineni
Peng Wei
Tian-Shing Lan
Mohammad Sadrosadati
Onur Mutlu
Guru Venkataramani
50
10
0
07 May 2024
A Review of Reward Functions for Reinforcement Learning in the context
  of Autonomous Driving
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
Ahmed Abouelazm
Jonas Michel
J. M. Zöllner
40
6
0
12 Apr 2024
AgentsCoDriver: Large Language Model Empowered Collaborative Driving
  with Lifelong Learning
AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning
Senkang Hu
Zhengru Fang
Zihan Fang
Yiqin Deng
Xianhao Chen
Yuguang Fang
60
33
0
09 Apr 2024
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
Axel Brunnbauer
Luigi Berducci
P. Priller
D. Ničković
Radu Grosu
42
1
0
26 Mar 2024
Collision Avoidance Verification of Multiagent Systems with Learned
  Policies
Collision Avoidance Verification of Multiagent Systems with Learned Policies
Zihao Dong
Shayegan Omidshafiei
Michael Everett
29
1
0
05 Mar 2024
Learning to Model Diverse Driving Behaviors in Highly Interactive
  Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning
Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning
Weiwei Liu
Wenxuan Hu
Wei Jing
Lanxin Lei
Lingping Gao
Yong Liu
39
2
0
21 Feb 2024
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
Songyuan Zhang
Oswin So
Kunal Garg
Chuchu Fan
AI4CE
46
22
0
25 Jan 2024
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles
  Control: Recent Advancements and Future Prospects
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
Min Hua
Dong Chen
Xinda Qi
Kun Jiang
Z. Liu
Quan Zhou
Hongming Xu
18
10
0
18 Dec 2023
Choose Your Simulator Wisely: A Review on Open-source Simulators for
  Autonomous Driving
Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving
Yueyuan Li
Wei Yuan
Songan Zhang
Weihao Yan
Qiyuan Shen
Chunxiang Wang
Ming Yang
34
32
0
18 Nov 2023
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous
  Driving Research
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
Cole Gulino
Justin Fu
Wenjie Luo
George Tucker
Eli Bronstein
...
Brandyn White
Aleksandra Faust
R. McAllister
Drago Anguelov
Benjamin Sapp
39
91
0
12 Oct 2023
A Two-stage Based Social Preference Recognition in Multi-Agent
  Autonomous Driving System
A Two-stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System
Jintao Xue
Dongkun Zhang
Rong Xiong
Yue Wang
Eryun Liu
23
0
0
05 Oct 2023
On Reducing Undesirable Behavior in Deep Reinforcement Learning Models
On Reducing Undesirable Behavior in Deep Reinforcement Learning Models
Ophir M. Carmel
Guy Katz
32
0
0
06 Sep 2023
Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe
  Self-Driving in Non-Stationary Environments
Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe Self-Driving in Non-Stationary Environments
Haozhe Lei
Quanyan Zhu
16
0
0
05 Sep 2023
FusionPlanner: A Multi-task Motion Planner for Mining Trucks via
  Multi-sensor Fusion
FusionPlanner: A Multi-task Motion Planner for Mining Trucks via Multi-sensor Fusion
Siyu Teng
Luxi Li
Yuchen Li
Xuemin Hu
Lingxi Li
Yunfeng Ai
Long Chen
39
30
0
14 Aug 2023
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning
  Coordination Problem
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
Paul Barde
Jakob N. Foerster
Derek Nowrouzezahrai
Amy Zhang
OffRL
22
8
0
26 May 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
41
0
0
25 Apr 2023
Stochastic Graph Neural Network-based Value Decomposition for MARL in
  Internet of Vehicles
Stochastic Graph Neural Network-based Value Decomposition for MARL in Internet of Vehicles
Baidi Xiao
Rongpeng Li
Fei-Yue Wang
Chenghui Peng
Jianjun Wu
Zhifeng Zhao
Honggang Zhang
52
9
0
23 Mar 2023
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial
  Minority Influence
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence
Simin Li
Jun Guo
Jingqiao Xiu
Pu Feng
Xin Yu
Aishan Liu
Wenjun Wu
Xianglong Liu
AAML
42
13
0
07 Feb 2023
The OpenCDA Open-source Ecosystem for Cooperative Driving Automation
  Research
The OpenCDA Open-source Ecosystem for Cooperative Driving Automation Research
Runsheng Xu
Hao Xiang
Xu Han
Xin Xia
Zonglin Meng
Chia-Ju Chen
Jiaqi Ma
31
65
0
18 Jan 2023
Multi-Vehicle Trajectory Prediction at Intersections using State and
  Intention Information
Multi-Vehicle Trajectory Prediction at Intersections using State and Intention Information
Dekai Zhu
Qadeer Ahmad Khan
Daniel Cremers
29
1
0
06 Jan 2023
Cognitive Level-$k$ Meta-Learning for Safe and Pedestrian-Aware
  Autonomous Driving
Cognitive Level-kkk Meta-Learning for Safe and Pedestrian-Aware Autonomous Driving
Haozhe Lei
Quanyan Zhu
20
0
0
17 Dec 2022
Graph Reinforcement Learning Application to Co-operative Decision-Making
  in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Qi Liu
Xueyuan Li
Zirui Li
Jingda Wu
Guodong Du
Xinlu Gao
Fan Yang
Shihua Yuan
46
8
0
06 Nov 2022
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement
  Learning
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning
Jennifer She
Jayesh K. Gupta
Mykel J. Kochenderfer
26
4
0
31 Oct 2022
Safe and Efficient Manoeuvring for Emergency Vehicles in Autonomous
  Traffic using Multi-Agent Proximal Policy Optimisation
Safe and Efficient Manoeuvring for Emergency Vehicles in Autonomous Traffic using Multi-Agent Proximal Policy Optimisation
L. Parada
Eduardo Candela
Luís Marques
Panagiotis Angeloudis
14
11
0
31 Oct 2022
LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight
  Grouping for Multi-Agent Reinforcement Learning
LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning
Jenny Yang
Jaeuk Kim
Joo-Young Kim
26
2
0
29 Oct 2022
Distributional Reward Estimation for Effective Multi-Agent Deep
  Reinforcement Learning
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning
Jifeng Hu
Yanchao Sun
Hechang Chen
Sili Huang
Haiyin Piao
Yi-Ju Chang
Lichao Sun
13
5
0
14 Oct 2022
Self-Adaptive Driving in Nonstationary Environments through Conjectural
  Online Lookahead Adaptation
Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation
Tao Li
Haozhe Lei
Quanyan Zhu
14
8
0
06 Oct 2022
Concept-modulated model-based offline reinforcement learning for rapid
  generalization
Concept-modulated model-based offline reinforcement learning for rapid generalization
Nicholas A. Ketz
Praveen K. Pilly
OffRL
19
1
0
07 Sep 2022
Nocturne: a scalable driving benchmark for bringing multi-agent learning
  one step closer to the real world
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
Eugene Vinitsky
Nathan Lichtlé
Xiaomeng Yang
Brandon Amos
Jakob N. Foerster
OffRL
38
51
0
20 Jun 2022
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and
  Multi-agent
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agent
Oskar Natan
J. Miura
20
34
0
12 Apr 2022
Transferring Multi-Agent Reinforcement Learning Policies for Autonomous
  Driving using Sim-to-Real
Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real
Eduardo Candela
L. Parada
Luís Marques
Tiberiu-Andrei Georgescu
Y. Demiris
Panagiotis Angeloudis
34
32
0
22 Mar 2022
An Introduction to Multi-Agent Reinforcement Learning and Review of its
  Application to Autonomous Mobility
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility
Lukas M. Schmidt
Johanna Brosig
Axel Plinge
Bjoern M. Eskofier
Christopher Mutschler
33
33
0
15 Mar 2022
Disentangling Successor Features for Coordination in Multi-agent
  Reinforcement Learning
Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning
Seungchan Kim
Neale Van Stralen
Girish Chowdhary
Huy T. Tran
19
0
0
15 Feb 2022
Evaluating the Robustness of Deep Reinforcement Learning for Autonomous
  Policies in a Multi-agent Urban Driving Environment
Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-agent Urban Driving Environment
Aizaz Sharif
D. Marijan
16
5
0
22 Dec 2021
Adversarial Deep Reinforcement Learning for Improving the Robustness of
  Multi-agent Autonomous Driving Policies
Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Policies
Aizaz Sharif
D. Marijan
AAML
21
15
0
22 Dec 2021
Multi-agent Reinforcement Learning for Cooperative Lane Changing of
  Connected and Autonomous Vehicles in Mixed Traffic
Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic
Wei Zhou
Dong Chen
Jun Yan
Zhaojian Li
Huilin Yin
Wancheng Ge
28
80
0
11 Nov 2021
Context Meta-Reinforcement Learning via Neuromodulation
Context Meta-Reinforcement Learning via Neuromodulation
Eseoghene Ben-Iwhiwhu
Jeffery Dick
Nicholas A. Ketz
Praveen K. Pilly
Andrea Soltoggio
OffRL
33
12
0
30 Oct 2021
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