CrossLight: Offline-to-Online Reinforcement Learning for Cross-City Traffic Signal Control

Author:

Sun Qian1ORCID,Zha Rui2ORCID,Zhang Le3ORCID,Zhou Jingbo3ORCID,Mei Yu4ORCID,Li Zhiling5ORCID,Xiong Hui6ORCID

Affiliation:

1. The Division of Emerging Interdisciplinary Areas, Hong Kong University of Science and Technology, Hong Kong SAR, China

2. School of Computer Science, University of Science and Technology of China, Hefei, China

3. Baidu Research, Baidu Inc., Beijing, China

4. Department of Intelligent Transportation System, Baidu Inc., Beijing, China

5. Department of Intelligent Driving Group Business Management, Baidu Inc., Beijing, China

6. Thrust of Artificial Intelligence, Hong Kong University of Science and Technology (Guangzhou) & Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Guangzhou-HKUST(GZ) Joint Funding Program

Education Bureau of Guangzhou Municipality

Publisher

ACM

Reference43 articles.

1. James Ault and Guni Sharon. 2021. Reinforcement learning benchmarks for traffic signal control. In Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 1).

2. Micah Carroll Orr Paradise Jessy Lin Raluca Georgescu Mingfei Sun David Bignell Stephanie Milani Katja Hofmann Matthew Hausknecht Anca Dragan et al. 2022. Uni [mask]: Unified inference in sequential decision problems. Advances in neural information processing systems 35 (2022) 35365--35378.

3. Nicolò Cesa-Bianchi, Claudio Gentile, Gábor Lugosi, and Gergely Neu. 2017. Boltzmann exploration done right. Advances in neural information processing systems 30 (2017).

4. Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control

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