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FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control., , , , , and . CoRR, (2019)Algorithmic Collusion in Cournot Duopoly Market: Evidence from Experimental Economics., , , and . CoRR, (2018)Monte Carlo Neural Fictitious Self-Play: Achieve Approximate Nash equilibrium of Imperfect-Information Games., , , and . CoRR, (2019)Field-aware Neural Factorization Machine for Click-Through Rate Prediction., , , and . CoRR, (2019)Real Time Anomalous Trajectory Detection and Analysis., , , , , and . MONET, 18 (3): 341-356 (2013)Prediction of urban human mobility using large-scale taxi traces and its applications., , , , , , , and . Frontiers Comput. Sci. China, 6 (1): 111-121 (2012)Demographic Attributes Prediction Through App Usage Behaviors on Smartphones., , , , and . UbiComp/ISWC Adjunct, page 870-877. ACM, (2018)AppUsage2Vec: Modeling Smartphone App Usage for Prediction., , , , , , , and . ICDE, page 1322-1333. IEEE, (2019)Speeding up Deep Learning with Transient Servers., , , and . ICAC, page 125-135. IEEE, (2019)Measuring social functions of city regions from large-scale taxi behaviors., , , , , and . PerCom Workshops, page 384-388. IEEE Computer Society, (2011)