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Policy Optimization with Model-Based Explorations.

, , , , , , , и . AAAI, стр. 4675-4682. AAAI Press, (2019)

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Qing Shengzu

Li Qing

Lan Qing

Ma Qing

Qing Ye

 

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Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce., , , , , , и . CoRR, (2020)Self-Practice Imitation Learning from Weak Policy., , и . PSL, том 8183 из Lecture Notes in Computer Science, стр. 9-20. Springer, (2013)Cross-Lingual Product Retrieval in E-Commerce Search., , , , , , , , , и 1 other автор(ы). PAKDD (2), том 13281 из Lecture Notes in Computer Science, стр. 458-471. Springer, (2022)Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application., , , , и . KDD, стр. 368-377. ACM, (2018)Speeding up the Metabolism in e-Commerce by Reinforcement Mechanism Design., , , и . eCOM@SIGIR, том 2319 из CEUR Workshop Proceedings, CEUR-WS.org, (2018)Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce., , , и . WSDM, стр. 1036-1044. ACM, (2022)Boosting Nonparametric Policies., , , и . AAMAS, стр. 477-484. ACM, (2016)Learning with Augmented Class by Exploiting Unlabeled Data., , и . AAAI, стр. 1760-1766. AAAI Press, (2014)Napping for functional representation of policy., , и . AAMAS, стр. 189-196. IFAAMAS/ACM, (2014)Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space., , , , и . CIKM, стр. 2605-2612. ACM, (2020)