These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

138 related articles for article (PubMed ID: 33267458)

  • 1. Deep Reinforcement Learning-Based Traffic Signal Control Using High-Resolution Event-Based Data.
    Wang S; Xie X; Huang K; Zeng J; Cai Z
    Entropy (Basel); 2019 Jul; 21(8):. PubMed ID: 33267458
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Real-Time Adaptive Traffic Signal Control in a Connected and Automated Vehicle Environment: Optimisation of Signal Planning with Reinforcement Learning under Vehicle Speed Guidance.
    Maadi S; Stein S; Hong J; Murray-Smith R
    Sensors (Basel); 2022 Oct; 22(19):. PubMed ID: 36236600
    [TBL] [Abstract][Full Text] [Related]  

  • 3. IHG-MA: Inductive heterogeneous graph multi-agent reinforcement learning for multi-intersection traffic signal control.
    Yang S; Yang B; Kang Z; Deng L
    Neural Netw; 2021 Jul; 139():265-277. PubMed ID: 33838602
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Cooperative Deep Reinforcement Learning for Large-Scale Traffic Grid Signal Control.
    Tan T; Bao F; Deng Y; Jin A; Dai Q; Wang J
    IEEE Trans Cybern; 2020 Jun; 50(6):2687-2700. PubMed ID: 30946688
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Biased Pressure: Cyclic Reinforcement Learning Model for Intelligent Traffic Signal Control.
    Ibrokhimov B; Kim YJ; Kang S
    Sensors (Basel); 2022 Apr; 22(7):. PubMed ID: 35408431
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-objective deep reinforcement learning approach for adaptive traffic signal control system with concurrent optimization of safety, efficiency, and decarbonization at intersections.
    Zhang G; Chang F; Jin J; Yang F; Huang H
    Accid Anal Prev; 2024 May; 199():107451. PubMed ID: 38367397
    [TBL] [Abstract][Full Text] [Related]  

  • 7. OAS Deep Q-Learning-Based Fast and Smooth Control Method for Traffic Signal Transition in Urban Arterial Tidal Lanes.
    Dong L; Xie X; Lu J; Feng L; Zhang L
    Sensors (Basel); 2024 Mar; 24(6):. PubMed ID: 38544109
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Adaptive urban traffic signal control based on enhanced deep reinforcement learning.
    Cai C; Wei M
    Sci Rep; 2024 Jun; 14(1):14116. PubMed ID: 38898047
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Network-Scale Traffic Signal Control via Multiagent Reinforcement Learning With Deep Spatiotemporal Attentive Network.
    Huang H; Hu Z; Lu Z; Wen X
    IEEE Trans Cybern; 2023 Jan; 53(1):262-274. PubMed ID: 34343099
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multi-Agent Reinforcement Learning for Traffic Flow Management of Autonomous Vehicles.
    Mushtaq A; Haq IU; Sarwar MA; Khan A; Khalil W; Mughal MA
    Sensors (Basel); 2023 Feb; 23(5):. PubMed ID: 36904577
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep Reinforcement Learning for Traffic Signal Control Model and Adaptation Study.
    Tan J; Yuan Q; Guo W; Xie N; Liu F; Wei J; Zhang X
    Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433328
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Traffic Signal Control Using Hybrid Action Space Deep Reinforcement Learning.
    Bouktif S; Cheniki A; Ouni A
    Sensors (Basel); 2021 Mar; 21(7):. PubMed ID: 33806123
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A traffic light control method based on multi-agent deep reinforcement learning algorithm.
    Liu D; Li L
    Sci Rep; 2023 Jun; 13(1):9396. PubMed ID: 37296308
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Vehicular Traffic Congestion Classification by Visual Features and Deep Learning Approaches: A Comparison.
    Impedovo D; Balducci F; Dentamaro V; Pirlo G
    Sensors (Basel); 2019 Nov; 19(23):. PubMed ID: 31795080
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep Q-network-based traffic signal control models.
    Park S; Han E; Park S; Jeong H; Yun I
    PLoS One; 2021; 16(9):e0256405. PubMed ID: 34473716
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Asynchronous Deep Double Dueling Q-learning for trading-signal execution in limit order book markets.
    Nagy P; Calliess JP; Zohren S
    Front Artif Intell; 2023; 6():1151003. PubMed ID: 37818429
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Large-Scale Traffic Signal Control Using a Novel Multiagent Reinforcement Learning.
    Wang X; Ke L; Qiao Z; Chai X
    IEEE Trans Cybern; 2021 Jan; 51(1):174-187. PubMed ID: 32881705
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control.
    Alegre LN; Bazzan ALC; da Silva BC
    PeerJ Comput Sci; 2021; 7():e575. PubMed ID: 34141896
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Cooperative Traffic Signal Control with Traffic Flow Prediction in Multi-Intersection.
    Kim D; Jeong O
    Sensors (Basel); 2019 Dec; 20(1):. PubMed ID: 31878251
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A scalable approach to optimize traffic signal control with federated reinforcement learning.
    Bao J; Wu C; Lin Y; Zhong L; Chen X; Yin R
    Sci Rep; 2023 Nov; 13(1):19184. PubMed ID: 37932347
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.