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Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments., , , , and . ICML, OpenReview.net, (2024)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)FairMove: A Data-Driven Vehicle Displacement System for Jointly Optimizing Profit Efficiency and Fairness of Electric For-Hire Vehicles., , , , , , , and . IEEE Trans. Mob. Comput., 23 (6): 6785-6802 (June 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 Mobility-on-Demand Systems under Demand and Supply Uncertainties., , , , and . IROS, page 2165-2172. IEEE, (2020)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)Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach., , and . IROS, page 5471-5478. (2023)