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Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method
  in Multi-Agent Deep Reinforcement Learning

Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method in Multi-Agent Deep Reinforcement Learning

14 June 2024
Xiaojun Bi
Mingjie He
Yiwen Sun
ArXivPDFHTML

Papers citing "Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method in Multi-Agent Deep Reinforcement Learning"

4 / 4 papers shown
Title
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
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
Zeyu Zhu
Huijing Zhao
82
147
0
06 Jan 2021
A Learning-based Discretionary Lane-Change Decision-Making Model with
  Driving Style Awareness
A Learning-based Discretionary Lane-Change Decision-Making Model with Driving Style Awareness
Yifan Zhang
Qian Xu
Jianping Wang
Kui Wu
Zuduo Zheng
K. Lu
21
41
0
19 Oct 2020
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous
  Vehicles
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles
S. Aradi
210
435
0
30 Jan 2020
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