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Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation., , , и . WWW, стр. 292-302. ACM / IW3C2, (2020)Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching., , , , , , и . ICDM, стр. 1541-1546. IEEE, (2021)Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning., , , , , и . IJCAI, стр. 6566-6568. ijcai.org, (2019)Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network., , , , , , и . IEEE BigData, стр. 1450-1459. IEEE, (2019)Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching., , , , и . ICDM, стр. 617-626. IEEE Computer Society, (2018)A Deep Value-network Based Approach for Multi-Driver Order Dispatching., , , , , , , и . CoRR, (2021)Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation., , , , , и . KDD, стр. 566-576. ACM, (2019)Deep Reinforcement Learning with Applications in Transportation., , и . KDD, стр. 3201-3202. ACM, (2019)Robust Low-Rank Tensor Recovery: Models and Algorithms., и . SIAM J. Matrix Anal. Appl., 35 (1): 225-253 (2014)Offline Model-based Adaptable Policy Learning., , , , , , и . NeurIPS, стр. 8432-8443. (2021)