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Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems.

, , , , , and . CDC, page 2996-3003. IEEE, (2021)

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Experiments with free concept generation in Divago., and . Knowl. Based Syst., 19 (7): 459-470 (2006)Reuse of UML Class Diagrams Using Case-Based Composition., , , , , , and . SEKE, page 258-263. (2004)Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation., , and . IEEE Trans. Intell. Transp. Syst., 20 (2): 594-603 (2019)A Model for Creativity in Creature Generation., , , , and . GAME-ON, page 175-. EUROSIS, (2003)Deep learning from crowds., and . CoRR, (2017)Using internet search queries to predict human mobility in social events., , , , and . ITSC, page 1342-1347. IEEE, (2016)Clouds: A Module for Automatic Learning of Concept Maps., and . Diagrams, volume 1889 of Lecture Notes in Computer Science, page 468-470. Springer, (2000)DynaMIT2.0: Architecture Design and Preliminary Results on Real-Time Data Fusion for Traffic Prediction and Crisis Management., , , , , and . ITSC, page 2250-2255. IEEE, (2015)Improving the Accuracy and Efficiency of Online Calibration for Simulation-based Dynamic Traffic Assignment., , , , , and . CoRR, (2021)Beyond Expectation: Deep Joint Mean and Quantile Regression for Spatiotemporal Problems., and . IEEE Trans. Neural Networks Learn. Syst., 31 (12): 5377-5389 (2020)