Attention-Based Distributional Reinforcement Learning for Safe and Efficient Autonomous Driving-Reference-Cited by-同舟云学术

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Attention-Based Distributional Reinforcement Learning for Safe and Efficient Autonomous Driving

Published:2024-09 Issue:9 Volume:9 Page:7477-7484
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Liu Jia¹^ORCID,Yin Jianwen¹^ORCID,Jiang Zhengmin¹^ORCID,Liang Qingyi¹^ORCID,Li Huiyun¹^ORCID

Affiliation:

1. CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

Funder

Guang Dong Basic and Applied Basic Research

NSFC Project

Shenzhen Basic Key Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7083369/10601335/10604470.pdf?arnumber=10604470

Reference31 articles.

1. Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles

2. Reinforcement Learning-Based High-Speed Path Following Control for Autonomous Vehicles

3. Realistic Car-Following Models for Microscopic Simulation of Adaptive and Cooperative Adaptive Cruise Control Vehicles

4. Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

5. Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors

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