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Publication search results
found 34 matches
- 2024
- Leilei Kang, Hao Huang, Weike Lu, Lan Liu:
Optimizing gate control coordination signal for urban traffic network boundaries using multi-agent deep reinforcement learning. Expert Syst. Appl. 255: 124627 (2024) - Yisha Li, Ya Zhang, Xinde Li, Changyin Sun:
Regional Multi-Agent Cooperative Reinforcement Learning for City-Level Traffic Grid Signal Control. IEEE CAA J. Autom. Sinica 11(9): 1987-1998 (2024) - Yue Pan, Jinlong Lei, Peng Yi:
Heterogeneous Multi-Agent Reinforcement Learning based on Adaptive Curiosity for Traffic Signal Control. ACC 2024: 239-244 - 2023
- Rohit Bokade, Xiaoning Jin, Christopher Amato:
Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control. IEEE Access 11: 47646-47658 (2023) - Xuesi Li, Jingchen Li, Haobin Shi:
A multi-agent reinforcement learning method with curriculum transfer for large-scale dynamic traffic signal control. Appl. Intell. 53(18): 21433-21447 (2023) - Shantian Yang, Bo Yang, Zheng Zeng, Zhongfeng Kang:
Causal inference multi-agent reinforcement learning for traffic signal control. Inf. Fusion 94: 243-256 (2023) - Shantian Yang:
Hierarchical graph multi-agent reinforcement learning for traffic signal control. Inf. Sci. 634: 55-72 (2023) - Tinghuai Ma, Kexing Peng, Huan Rong, Yurong Qian:
AGRCNet: communicate by attentional graph relations in multi-agent reinforcement learning for traffic signal control. Neural Comput. Appl. 35(28): 21007-21022 (2023) - Yixuan Li, Qian Che, Yifeng Zhou, Wanyuan Wang, Yichuan Jiang:
Explicit Coordination Based Multi-agent Reinforcement Learning for Intelligent Traffic Signal Control. ChineseCSCW (2) 2023: 3-18 - Yilin Liu, Guiyang Luo, Quan Yuan, Jinglin Li, Lei Jin, Bo Chen, Rui Pan:
GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control. IJCAI 2023: 199-207 - Xin Du, Jiahai Wang, Siyuan Chen:
Multi-Agent Meta-Reinforcement Learning with Coordination and Reward Shaping for Traffic Signal Control. PAKDD (2) 2023: 349-360 - Rohit Bokade, Xiaoning Jin, Christopher Amato:
Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control. CoRR abs/2310.02435 (2023) - 2022
- Hongwei Ge, Dongwan Gao, Liang Sun, Yaqing Hou, Chao Yu, Yuxin Wang, Guozhen Tan:
Multi-Agent Transfer Reinforcement Learning With Multi-View Encoder for Adaptive Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. 23(8): 12572-12587 (2022) - Shan Jiang, Yufei Huang, Mohsen A. Jafari, Mohammad Jalayer:
A Distributed Multi-Agent Reinforcement Learning With Graph Decomposition Approach for Large-Scale Adaptive Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. 23(9): 14689-14701 (2022) - Qize Jiang, Minhao Qin, Shengmin Shi, Weiwei Sun, Baihua Zheng:
Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method. IJCAI 2022: 3854-3860 - Behrad Koohy, Sebastian Stein, Enrico H. Gerding, Ghaithaa Manla:
Reward Function Design in Multi-Agent Reinforcement Learning for Traffic Signal Control. ATT@IJCAI 2022: 1-13 - Maxim Friesen, Tian Tan, Jürgen Jasperneite, Jie Wang:
Multi-Agent Deep Reinforcement Learning For Real-World Traffic Signal Controls - A Case Study. INDIN 2022: 162-169 - Bálint Kövári, Máté Kolat, Tamás Bécsi, Szilárd Aradi:
Competitive Multi-Agent Reinforcement Learning for Traffic Signal Control. SISY 2022: 361-366 - Qize Jiang, Minhao Qin, Shengmin Shi, Weiwei Sun, Baihua Zheng:
Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method. CoRR abs/2204.12190 (2022) - Jinming Ma, Feng Wu:
Feudal Multi-Agent Reinforcement Learning with Adaptive Network Partition for Traffic Signal Control. CoRR abs/2205.13836 (2022) - Haoran Su, Yaofeng Desmond Zhong, Joseph Y. J. Chow, Biswadip Dey, Li Jin:
EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System. CoRR abs/2206.13441 (2022) - 2021
- Shantian Yang, Bo Yang, Zhongfeng Kang, Lihui Deng:
IHG-MA: Inductive heterogeneous graph multi-agent reinforcement learning for multi-intersection traffic signal control. Neural Networks 139: 265-277 (2021) - Shantian Yang, Bo Yang:
A Meta Multi-agent Reinforcement Learning Algorithm for Multi-intersection Traffic Signal Control. DASC/PiCom/CBDCom/CyberSciTech 2021: 18-25 - Wei Wei, Qiang Wu, Jianqing Wu, Bo Du, Jun Shen, Tinghong Li:
Multi-agent deep reinforcement learning for traffic signal control with Nash Equilibrium. HPCC/DSS/SmartCity/DependSys 2021: 1435-1442 - Xin Du, Jiahai Wang, Siyuan Chen, Zhiyue Liu:
Multi-agent Deep Reinforcement Learning with Spatio-Temporal Feature Fusion for Traffic Signal Control. ECML/PKDD (4) 2021: 470-485 - 2020
- Tianshu Chu, Jie Wang, Lara Codecà, Zhaojian Li:
Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. 21(3): 1086-1095 (2020) - Jinming Ma, Feng Wu:
Feudal Multi-Agent Deep Reinforcement Learning for Traffic Signal Control. AAMAS 2020: 816-824 - Chunliang Wu, Zhenliang Ma, Inhi Kim:
Multi-Agent Reinforcement Learning for Traffic Signal Control: Algorithms and Robustness Analysis. ITSC 2020: 1-7 - Junjia Liu, Huimin Zhang, Zhuang Fu, Yao Wang:
Gamma-Reward: A Novel Multi-Agent Reinforcement Learning Method for Traffic Signal Control. CoRR abs/2002.11874 (2020) - 2019
- Tianshu Chu, Jie Wang, Lara Codecà, Zhaojian Li:
Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control. CoRR abs/1903.04527 (2019)
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