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2003.04371
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A Multi-Agent Reinforcement Learning Approach For Safe and Efficient Behavior Planning Of Connected Autonomous Vehicles
9 March 2020
Songyang Han
Shangli Zhou
Jiangwei Wang
Lynn Pepin
Caiwen Ding
Jie Fu
Fei Miao
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Papers citing
"A Multi-Agent Reinforcement Learning Approach For Safe and Efficient Behavior Planning Of Connected Autonomous Vehicles"
6 / 6 papers shown
Title
Safe and Efficient CAV Lane Changing using Decentralised Safety Shields
Bharathkumar Hegde
Melanie Bouroche
27
0
0
30 Apr 2025
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
20
10
0
18 Dec 2023
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios
Zhili Zhang
Songyang Han
Jiangwei Wang
Fei Miao
35
19
0
05 Oct 2022
Reinforcement Learning for Mixed Autonomy Intersections
Zhongxia Yan
Cathy Wu
54
29
0
08 Nov 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
165
1,632
0
02 Feb 2020
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles
S. Aradi
210
435
0
30 Jan 2020
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