A Multi-Agent Reinforcement Learning Approach For Safe and Efficient
Behavior Planning Of Connected Autonomous Vehicles

A Multi-Agent Reinforcement Learning Approach For Safe and Efficient Behavior Planning Of Connected Autonomous Vehicles

9 March 2020

Caiwen Ding

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 18 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