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SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning.

, , , , , , and . Neurocomputing, (2022)

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Implementation and optimization of group-based signal control in traffic simulation., and . ITSC, page 2517-2522. IEEE, (2014)A multi-objective multi-agent framework for traffic light control., and . ASCC, page 1199-1204. IEEE, (2017)A Meta-Graph Deep Learning Framework for Forecasting Air Pollutants in Stockholm., , , , and . WF-IoT, page 1-6. IEEE, (2023)Link speed prediction for signalized urban traffic network using a hybrid deep learning approach., , , , and . ITSC, page 2195-2200. IEEE, (2019)Adaptive Group-Based Signal Control Using Reinforcement Learning with Eligibility Traces., and . ITSC, page 2412-2417. IEEE, (2015)PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks., , , , , , and . IEEE Trans. Intell. Transp. Syst., 23 (7): 7332-7342 (2022)Advance Traffic Signal Control Systems with Emerging Technologies.. KTH Royal Institute of Technology, Sweden, (2018)How does Heterophily Impact the Robustness of Graph Neural Networks?: Theoretical Connections and Practical Implications., , , , and . KDD, page 2637-2647. ACM, (2022)GraphPro: A Graph-based Proactive Prediction Approach for Link Speeds on Signalized Urban Traffic Network., , , , and . SMC, page 339-346. IEEE, (2022)A Hybrid Modelling Approach for Traffic State Estimation at Signalized Intersections., , and . ITSC, page 3604-3609. IEEE, (2021)