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A Markov Decision Process Framework for Predictable Job Completion Times on Crowdsourcing Platforms.

, , , and . HCOMP, page 34-35. AAAI, (2014)

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Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go?, and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1347-1355. PMLR, (2018)Deep Gated Networks: A framework to understand training and generalisation in deep learning., and . CoRR, (2020)A stability criterion for two timescale stochastic approximation schemes., and . Autom., (2017)Approximate Linear Programming and Decentralized Policy Improvement in Cooperative Multi-agent Markov Decision Processes., , and . CoRR, (2023)CurriculumTutor: An Adaptive Algorithm for Mastering a Curriculum., , and . AIED (1), volume 13355 of Lecture Notes in Computer Science, page 319-331. Springer, (2022)Scalable Performance Tuning of Hadoop MapReduce: A Noisy Gradient Approach., , , , , and . CLOUD, page 375-382. IEEE Computer Society, (2017)Shaping Proto-Value Functions Using Rewards., , , and . ECAI, volume 285 of Frontiers in Artificial Intelligence and Applications, page 1690-1691. IOS Press, (2016)Half-Space Feature Learning in Neural Networks., , and . CoRR, (2024)Linear Stochastic Approximation: Constant Step-Size and Iterate Averaging., and . CoRR, (2017)Unsupervised Concept Tagging of Mathematical Questions from Student Explanations., and . AIED, volume 13916 of Lecture Notes in Computer Science, page 627-638. Springer, (2023)