Adversarial Learning for Safe Highway Driving based on Two-Player Zero-Sum Game-Reference-Cited by-同舟云学术

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Adversarial Learning for Safe Highway Driving based on Two-Player Zero-Sum Game

Published:2023-05-31 Issue: Volume: Page:
ISSN:
Container-title:2023 American Control Conference (ACC)
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Author:

Li Fangjian¹,Zhao Mengtao¹,Wagner John¹,Wang Yue¹

Affiliation:

1. Clemson University,The Department of Mechanical Engineering,Clemson,SC,29634

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10155646/10155787/10156179.pdf?arnumber=10156179

Reference23 articles.

1. Equilibrium points in n-person games

2. Value function approximation in zerosum markov games;lagoudakis;Proceedings of the 18th Conference on Uncertainty in Artificial Intelligence,2002

3. Carla: An open urban driving simulator;dosovitskiy;Conference on Robot Learning,2017

4. Online minimax q network learning for two-player zero-sum markov games;zhu;IEEE Trans Neural Netw Learn Syst,2020

5. Q-learning

Cited by 1 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. Adversarial Testing with Reinforcement Learning: A Case Study on Autonomous Driving;2024 IEEE Conference on Software Testing, Verification and Validation (ICST);2024-05-27

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