Multi-Intersection Management for Connected Autonomous Vehicles by Reinforcement Learning-Reference-Cited by-同舟云学术

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Multi-Intersection Management for Connected Autonomous Vehicles by Reinforcement Learning

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS)
language:
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Author:

Jin Haiming¹,Wei Yifei²,Yang Zhaoxing¹,Liu Zirui¹,Fan Guiyun¹

Affiliation:

1. Shanghai Jiao Tong University,Shanghai,China

2. Carnegie Mellon University,PA,USA

Funder

NSF China

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10272385/10272393/10272513.pdf?arnumber=10272513

Reference39 articles.

1. Counterfactual Multi-Agent Policy Gradients

2. Efficient Management of Road Intersections for Automated Vehicles—The FRFP System Applied to the Various Types of Intersections and Roundabouts

3. Learning to communicate with deep multi-agent reinforcement learning;foerster;Neural Information Processing Systems Conf (NIPS),2016

4. Distributed Data-Sharing Consensus in Cooperative Perception of Autonomous Vehicles

5. CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

Cited by 2 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. Farthest Agent Selection With Episode-Wise Observations for Real-Time Multi-Agent Reinforcement Learning Applications;IEEE Access;2024

2. Fair and Efficient Traffic Light Control with Reinforcement Learning;Lecture Notes in Networks and Systems;2024

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