ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.05030
  4. Cited By
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep
  Q-Learning and Graph Attention Networks

DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks

11 August 2021
Peide Cai
Hengli Wang
Yuxiang Sun
Ming-Yu Liu
    GNN
ArXivPDFHTML

Papers citing "DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks"

3 / 3 papers shown
Title
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
80
146
0
06 Jan 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
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
131
192
0
19 Oct 2020
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic
  Environments with Multimodal Sensor Fusion
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion
Peide Cai
Sukai Wang
Yuxiang Sun
Ming-Yu Liu
36
70
0
05 May 2020
1