Understanding Linear Function: a Comparison of Selected Textbooks from England and Shanghai
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DOI: 10.1007/s10763-015-9674-x
Abstract: This study describes a comparison of how worked examples in selected textbooks from England and Shanghai presented possible learning trajectories towards understanding linear function. Six selected English textbooks and one Shanghai compulsory textbook were analysed… read more here.
Keywords: understanding linear; selected textbooks; textbooks england; function ... See more keywords
An online prediction algorithm for reinforcement learning with linear function approximation using cross entropy method
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DOI: 10.1007/s10994-018-5727-z
Abstract: In this paper, we provide two new stable online algorithms for the problem of prediction in reinforcement learning, i.e., estimating the value function of a model-free Markov reward process using the linear function approximation architecture… read more here.
Keywords: function approximation; method; reinforcement learning; function ... See more keywords
A Smoothing Approach for Minimizing A Linear Function Subject to Fuzzy Relation Inequalities with Addition–Min Composition
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DOI: 10.1007/s40815-018-0530-3
Abstract: This paper mainly focuses on minimizing a linear function subject to fuzzy relation inequalities with addition–min composition. Although the problem has been proved to be equivalent to a linear programming, it is still difficult to… read more here.
Keywords: subject fuzzy; approach; smoothing approach; linear function ... See more keywords
On the Optimal Load-Memory Tradeoff of Cache-Aided Scalar Linear Function Retrieval
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DOI: 10.1109/tit.2021.3066005
Abstract: Coded caching has the potential to greatly reduce network traffic by leveraging the cheap and abundant storage available in end-user devices so as to create multicast opportunities in the delivery phase. In the seminal work… read more here.
Keywords: retrieval; cache; scheme; scalar linear ... See more keywords
Using Reinforcement Learning to Control Traffic Signals in a Real-World Scenario: An Approach Based on Linear Function Approximation
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DOI: 10.1109/tits.2021.3091014
Abstract: Reinforcement learning is an efficient, widely used machine learning technique that performs well in problems with a reasonable number of states and actions. This is rarely the case regarding control-related problems, as for instance controlling… read more here.
Keywords: function approximation; inline formula; linear function; tex math ... See more keywords
On Certain Differential Subordination of Harmonic Mean Related to a Linear Function
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DOI: 10.3390/sym13060966
Abstract: In this paper we study a certain differential subordination related to the harmonic mean and its symmetry properties, in the case where a dominant is a linear function. In addition to the known general results… read more here.
Keywords: harmonic mean; differential subordination; certain differential; function ... See more keywords