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Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching.

, , , , , , and . ICDM, page 1541-1546. IEEE, (2021)

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Efficient block-coordinate descent algorithms for the Group Lasso., , and . Math. Program. Comput., 5 (2): 143-169 (2013)Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation., , , and . WWW, page 292-302. ACM / IW3C2, (2020)Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching., , , , , , and . ICDM, page 1541-1546. IEEE, (2021)Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network., , , , , , and . IEEE BigData, page 1450-1459. IEEE, (2019)Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning., , , , , and . IJCAI, page 6566-6568. ijcai.org, (2019)Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching., , , , and . ICDM, page 617-626. IEEE Computer Society, (2018)An alternating direction method for total variation denoising., , and . Optim. Methods Softw., 30 (3): 594-615 (2015)Structured Sparsity via Alternating Direction Methods., and . J. Mach. Learn. Res., (2012)Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms., , , , , , , , and . KDD, page 3605-3615. ACM, (2021)A Deep Value-network Based Approach for Multi-Driver Order Dispatching., , , , , , , and . KDD, page 1780-1790. ACM, (2019)