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Efficient Connected and Automated Driving System with Multi-agent Graph
  Reinforcement Learning
v1v2v3v4v5 (latest)

Efficient Connected and Automated Driving System with Multi-agent Graph Reinforcement Learning

6 July 2020
Tianyu Shi
Changyin Sun
Yuankai Wu
L. Miranda-Moreno
Lijun Sun
ArXiv (abs)PDFHTML

Papers citing "Efficient Connected and Automated Driving System with Multi-agent Graph Reinforcement Learning"

5 / 5 papers shown
Enhanced Safety in Autonomous Driving: Integrating Latent State
  Diffusion Model for End-to-End Navigation
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation
Detian Chu
Linyuan Bai
Jianuo Huang
Zhenlong Fang
Peng Zhang
Wei Kang
Haifeng Lin
450
6
0
08 Jul 2024
Communication-Efficient Soft Actor-Critic Policy Collaboration via
  Regulated Segment Mixture in Internet of Vehicles
Communication-Efficient Soft Actor-Critic Policy Collaboration via Regulated Segment Mixture in Internet of VehiclesIEEE Internet of Things Journal (IEEE IoT J.), 2023
Xiaoxue Yu
Rongpeng Li
Chengchao Liang
Zhifeng Zhao
356
3
0
15 Dec 2023
Communication-Efficient Cooperative Multi-Agent PPO via Regulated
  Segment Mixture in Internet of Vehicles
Communication-Efficient Cooperative Multi-Agent PPO via Regulated Segment Mixture in Internet of VehiclesGlobal Communications Conference (GLOBECOM), 2023
Xiaoxue Yu
Rongpeng Li
Haiwei Yang
Chenghui Peng
C. Liang
Zhifeng Zhao
Honggang Zhang
136
2
0
08 Aug 2023
Graph Reinforcement Learning Application to Co-operative Decision-Making
  in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Qi Liu
Xueyuan Li
Zirui Li
Jingda Wu
Guodong Du
Xinlu Gao
Fan Yang
Shihua Yuan
336
8
0
06 Nov 2022
WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based Environments
WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based Environments
Xi Chen
Tianyuan Shi
Qing Zhao
Yuchen Sun
Yunfei Gao
Xiangjun Wang
224
5
0
14 Oct 2022
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