A Discrete Soft Actor-Critic Decision-Making Strategy With Sample Filter for Freeway Autonomous Driving

Author:

Guan Jiayi1,Chen Guang1ORCID,Huang Jin2ORCID,Li Zhijun3ORCID,Xiong Lu1ORCID,Hou Jing1ORCID,Knoll Alois4ORCID

Affiliation:

1. Tongji University, Shanghai, China

2. School of Vehicle and Mobility, Tsinghua University, Beijing, China

3. University of Science and Technology of China, Hefei, China

4. Chair of Robotics, Artificial Intelligence and Real-time Systems, Technical University of Munich, Munich, Germany

Funder

National Natural Science Foundation of China

Shanghai Municipal Science and Technology Major Project

ZJ Lab

Shanghai Center for Brain Science and Brain-Inspired Technology

Shanghai Rising Star Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Reference28 articles.

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2. A Systematic Survey of Control Techniques and Applications in Connected and Automated Vehicles;IEEE Internet of Things Journal;2023-12-15

3. Promoting Decision-Making in Industrial Flotation Process by Collaborating Multiple Flotation Cells;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16

4. A Distributional Soft-Actor-Critic-Discrete-Based Decision-Making Algorithm for Autonomous Driving;2023 IEEE International Conference on Unmanned Systems (ICUS);2023-10-13

5. Planning and tracking control of full drive-by-wire electric vehicles in unstructured scenario;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2023-09-20

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