Unified Automatic Control of Vehicular Systems With Reinforcement Learning-Reference-Cited by-同舟云学术

Unified Automatic Control of Vehicular Systems With Reinforcement Learning

Published:2023-04 Issue:2 Volume:20 Page:789-804
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Yan Zhongxia¹^ORCID,Kreidieh Abdul Rahman²,Vinitsky Eugene³,Bayen Alexandre M.⁴^ORCID,Wu Cathy⁵^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA

2. Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, CA, USA

3. Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA, USA

4. Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA, USA

5. Department of Civil and Environmental Engineering, Laboratory for Information and Decision Systems, Institute of Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA

Funder

Amazon Catalyst

MIT-IBM Watson AI Laboratory

Department of Transportation Dwight David Eisenhower Transportation Fellowship Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/10094220/09765650.pdf?arnumber=9765650

Reference60 articles.

1. Emergent behaviors in mixed-autonomy traffic;wu;Proc Conf Robot Learn,2017

2. Traffic Dynamics: Analysis of Stability in Car Following

3. Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors

4. Microscopic Traffic Simulation using SUMO

5. Benchmarks for reinforcement learning in mixed-autonomy traffic;vinitsky;Proc Conf Robot Learn,2018

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