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

15 March 2022

Lukas M. Schmidt

Bjoern M. Eskofier

Christopher Mutschler

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 51 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 32 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 44 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 21 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 14 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 24 5 0 16 Mar 2022
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun-Jie 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 137 355 0 16 Oct 2019