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

, , , , , , и . ICDM, стр. 1541-1546. IEEE, (2021)

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Jieping Fan

Wei Ye

Min Ye

Ying Ye

Ye Hu

 

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Training SVM with indefinite kernels., и . ICML, том 307 из ACM International Conference Proceeding Series, стр. 136-143. ACM, (2008)Detection of number of components in CANDECOMP/PARAFAC models via minimum description length., , , , и . Digit. Signal Process., (2016)LLaFS: When Large-Language Models Meet Few-Shot Segmentation., , , , и . CoRR, (2023)Uncertainty-aware Unsupervised Multi-Object Tracking., , , , , и . ICCV, стр. 9962-9971. IEEE, (2023)Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching., , , , , , и . ICDM, стр. 1541-1546. IEEE, (2021)Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures., , , , , , и . ISBI, стр. 1406-1410. IEEE, (2018)Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation., , , и . WWW, стр. 292-302. ACM / IW3C2, (2020)In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle., , , , , , , , , и 2 other автор(ы). SIGMOD Conference, стр. 1286-1300. ACM, (2022)Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images., , , , и . CVPR, стр. 12803-12813. Computer Vision Foundation / IEEE, (2020)The 4th Artificial Intelligence of Things (AIoT) Workshop., , , , , , , , , и . KDD, стр. 4179-4180. ACM, (2021)