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2203.07676
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An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility
15 March 2022
Lukas M. Schmidt
Johanna Brosig
Axel Plinge
Bjoern M. Eskofier
Christopher Mutschler
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Papers citing
"An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility"
19 / 19 papers shown
Title
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
Zhuoren Li
Guizhe Jin
Ran Yu
Z. Chen
Nan I. Li
...
Lu Xiong
Bo Leng
Jia Hu
I. Kolmanovsky
Dimitar Filev
54
0
0
31 Mar 2025
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
A Review of Nine Physics Engines for Reinforcement Learning Research
Michael Kaup
Cornelius Wolff
Hyerim Hwang
Julius Mayer
Elia Bruni
AI4CE
37
5
0
11 Jul 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
27
0
0
20 Jun 2024
Spatio-temporal Value Semantics-based Abstraction for Dense Deep Reinforcement Learning
Jihui Nie
Dehui Du
Jiangnan Zhao
AI4CE
34
0
0
24 May 2024
A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning
Matteo Cederle
Marco Fabris
Gian Antonio Susto
26
0
0
14 May 2024
POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning
Chang Huang
Junqiao Zhao
Shatong Zhu
Hongtu Zhou
Chen Ye
T. Feng
Changjun Jiang
28
0
0
13 May 2024
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
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning
Ali Baheri
Mykel J. Kochenderfer
OT
24
3
0
18 Jan 2024
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning
Dongsheng Ding
Xiaohan Wei
Zhuoran Yang
Zhaoran Wang
Mihailo R. Jovanović
OffRL
32
11
0
31 May 2023
Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention
Min Yang
Guanjun Liu
Ziyuan Zhou
26
12
0
25 Apr 2023
Energy Management of Multi-mode Plug-in Hybrid Electric Vehicle using Multi-agent Deep Reinforcement Learning
Mingya Hua
Cetengfei Zhang
Fanggang Zhang
Zhi Li
Xiao-li Yu
Hongming Xu
Quan Zhou
14
33
0
16 Mar 2023
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning
Kai Cui
Anam Tahir
Gizem Ekinci
Ahmed Elshamanhory
Yannick Eich
Mengguang Li
Heinz Koeppl
AI4CE
89
15
0
08 Sep 2022
Energy Management of Multi-mode Hybrid Electric Vehicles based on Hand-shaking Multi-agent Learning
Mingya Hua
Zhi Li
Quan Zhou
16
2
0
06 Sep 2022
Graph Neural Networks in IoT: A Survey
Guimin Dong
Mingyue Tang
Zhiyuan Wang
Jiechao Gao
Sikun Guo
Lihua Cai
Robert Gutierrez
Brad Campbell
Laura E. Barnes
M. Boukhechba
GNN
AI4CE
40
96
0
29 Mar 2022
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies
Lukas M. Schmidt
Sebastian Rietsch
Axel Plinge
Bjoern M. Eskofier
Christopher Mutschler
OffRL
32
5
0
16 Mar 2022
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
139
193
0
19 Oct 2020
BARK: Open Behavior Benchmarking in Multi-Agent Environments
Julian Bernhard
Klemens Esterle
Patrick Hart
Tobias Kessler
90
41
0
05 Mar 2020
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan
Tabish Rashid
Mikayel Samvelyan
Shimon Whiteson
DRL
140
355
0
16 Oct 2019
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