Privacy-Preserved Federated Reinforcement Learning for Autonomy in Signalized Intersections-Reference-Cited by-同舟云学术

Privacy-Preserved Federated Reinforcement Learning for Autonomy in Signalized Intersections

Author:

Asadi Negar¹²³⁴⁵,Hosseini Seyed Hamid¹²³⁴⁵,Imani Mahdi¹²³⁴⁵,Aldrich Daniel P.¹²³⁴⁵,Ghoreishi Seyede Fatemeh¹²³⁴⁵

Affiliation:

1. Ph.D. Student, College of Engineering, Northeastern Univ.

2. Ph.D. Student, College of Engineering, Northeastern Univ. Email:

3. Assistant Professor, College of Engineering, Northeastern Univ. Email:

4. Professor, College of Social Sciences and Humanities, Northeastern Univ. Email:

5. Assistant Professor, College of Engineering and Khoury College of Computer Sciences, Northeastern Univ.

Publisher

American Society of Civil Engineers

Link

Reference23 articles.

1. A High-Integrity and Low-Cost Navigation System for Autonomous Vehicles;Bijjahalli S.;IEEE Transactions on Intelligent Transportation Systems,2021

2. Planning and Decision-Making for Autonomous Vehicles;Schwarting W.;Annu Rev Control Robot Auton Syst,2018

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