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Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems Under Demand and Supply Uncertainties.

, , , , , , , and . IEEE Trans. Intell. Transp. Syst., 24 (5): 5199-5215 (May 2023)

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Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties., , , , and . IROS, page 2165-2172. IEEE, (2020)Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach., , and . IROS, page 5471-5478. (2023)A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems., , , , and . IROS, page 5637-5644. (2023)Uncertainty Quantification of Collaborative Detection for Self-Driving., , , , , , and . ICRA, page 5588-5594. IEEE, (2023)Invariant Graph Neural Network for Out-of-Distribution Nodes., , , , , , and . ICMLC, page 192-196. ACM, (2023)Uncertainty Quantification of Collaborative Detection for Self-Driving., , , , , , and . CoRR, (2022)A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems., , , , and . CoRR, (2022)Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas., , , , , , , , , and 7 other author(s). CoRR, (2024)Robustness Evaluation of Multi-Agent Reinforcement Learning Algorithms using GNAs., , , , , , and . Tiny Papers @ ICLR, OpenReview.net, (2023)Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems Under Demand and Supply Uncertainties., , , , , , , and . IEEE Trans. Intell. Transp. Syst., 24 (5): 5199-5215 (May 2023)