CoLight
Author:
Affiliation:
1. Pennsylvania State University, University Park, PA, USA
2. Shanghai Jiao Tong University, Shanghai, China
3. Shanghai Tianrang Intelligent Technology Co., Ltd, Shanghai, China
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3357384.3357902
Reference33 articles.
1. Reinforcement learning-based multi-agent system for network traffic signal control
2. Distributed Learning Agents in Urban Traffic Control
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1. Optimizing gate control coordination signal for urban traffic network boundaries using multi-agent deep reinforcement learning;Expert Systems with Applications;2024-12
2. CycLight: Learning traffic signal cooperation with a cycle-level strategy;Expert Systems with Applications;2024-12
3. Regional Multi-Agent Cooperative Reinforcement Learning for City-Level Traffic Grid Signal Control;IEEE/CAA Journal of Automatica Sinica;2024-09
4. FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning;IEEE Transactions on Knowledge and Data Engineering;2024-09
5. A General Scenario-Agnostic Reinforcement Learning for Traffic Signal Control;IEEE Transactions on Intelligent Transportation Systems;2024-09
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