Decision Making for Autonomous Driving in a Virtual Highway Environment based on Generative Adversarial Imitation Learning-Reference-Cited by-同舟云学术

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Decision Making for Autonomous Driving in a Virtual Highway Environment based on Generative Adversarial Imitation Learning

Published:2023-10-11 Issue: Volume: Page:
ISSN:
Container-title:2023 Innovations in Intelligent Systems and Applications Conference (ASYU)
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Author:

Ozcelik Melik Bugra¹,Agin Berk¹,Caldiran Ozan,Sirin Omer¹

Affiliation:

1. AVL Research and Engineering Turkey,Istanbul,Turkey,34920

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10296537/10296542/10296611.pdf?arnumber=10296611

Reference28 articles.

1. Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment

2. Comparison of parametric and non-parametric approaches for vehicle speed prediction

3. Analysis of microscopic behavior models for probabilistic modeling of driver behavior

4. Curriculum learning

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. DriveLLaVA: Human-Level Behavior Decisions via Vision Language Model;Sensors;2024-06-25

2. Fast Multi-Class Vehicle Cooperative Path Optimization in Complex Urban V2X Transportation: A Novel Parallel Multi-Agent Reinforcement Learning Approach;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

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