Robustness Analysis of Discrete State-Based Reinforcement Learning Models in Traffic Signal Control-Reference-Cited by-同舟云学术

Robustness Analysis of Discrete State-Based Reinforcement Learning Models in Traffic Signal Control

Author:

Xu Dongwei¹^ORCID,Li Chengbin²,Wang Da²,Gao Guangyan²

Affiliation:

1. Department of Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, China

2. Department of College of Information Engineering, Zhejiang University of Technology, Hangzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference39 articles.

1. Dueling network architectures for deep reinforcement learning;wang;Proc Int Conf Int Conf Mach Learn,2016

2. Decision-based adversarial attacks: Reliable attacks against black-box machine learning models;brendel;arXiv 1712 04248,2017

5. Deep reinforcement learning with double Q-learning;hasselt;Proc AAAI Conf Artif Intell,2015

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