Reinforcement Learning for Joint V2I Network Selection and Autonomous Driving Policies

Author:

Yan Zijiang1,Tabassum Hina1

Affiliation:

1. York University,Dept. of Electrical Engineering and Computer Science,Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

IEEE

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-Band Wireless Communication Networks: Fundamentals, Challenges, and Resource Allocation;IEEE Transactions on Communications;2024-07

2. Optimizing Vehicular Networks with Variational Quantum Circuits-Based Reinforcement Learning;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2024-05-20

3. Enhancing Transportation Safety with Infrastructure Cooperative Autonomous Driving System;International Journal of Automotive Technology;2024-02

4. A Tractable Handoff-Aware Rate Outage Approximation with Applications to THz-Enabled Vehicular Network Optimization;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

5. Multi-UAV Speed Control with Collision Avoidance and Handover-Aware Cell Association: DRL with Action Branching;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

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