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A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem.

, , , , , and . IEEE Trans. Intell. Transp. Syst., 23 (8): 11903-11916 (2022)

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A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem., , , , , and . IEEE Trans. Intell. Transp. Syst., 23 (8): 11903-11916 (2022)Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control., , , , , , and . IEEE Trans. Smart Grid, 13 (3): 1976-1987 (2022)Learning-Accelerated ADMM for Distributed DC Optimal Power Flow., , , , , and . IEEE Control. Syst. Lett., (2022)PowerGridworld: a framework for multi-agent reinforcement learning in power systems., , , , , , and . e-Energy, page 565-570. ACM, (2022)IGMS: An Integrated ISO-to-Appliance Scale Grid Modeling System., , , , , , , and . IEEE Trans. Smart Grid, 8 (3): 1525-1534 (2017)graphenv: a Python library for reinforcement learning on graph search spaces., , , , , and . J. Open Source Softw., 7 (78): 4621 (2022)A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem., , , , , and . CoRR, (2021)Learning-Accelerated ADMM for Distributed DC Optimal Power Flow., , , , , and . ACC, page 576-581. IEEE, (2021)A Cyber-Physical System for Freeway Ramp Meter Signal Control Using Deep Reinforcement Learning in a Connected Environment., , , , and . ITSC, page 3813-3820. IEEE, (2021)Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches., , , , , and . Eng. Appl. Artif. Intell., (2024)