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Teaching Memoryless Randomized Learners Without Feedback

机译:没有反馈教学记忆随机学习者

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The present paper mainly studies the expected teaching time of memoryless randomized learners without feedback. First, a characterization of optimal randomized learners is provided and, based on it, optimal teaching times for certain classes are established. Second, the problem of determining the optimal teaching time is shown to be NP-hard. Third, an algorithm for approximating the optimal teaching time is given. Finally, two heuristics for teaching are studied, i.e., cyclic teachers and greedy teachers.
机译:本文主要研究记忆随机学习者的预期教学时间,无需反馈。首先,提供了最佳随机学习者的表征,并基于它,建立某些类别的最佳教学时间。其次,确定最佳教学时间的问题被认为是NP-HARD。第三,给出了一种近似最佳教学时间的算法。最后,研究了两个教学的启发式,即循环教师和贪婪的教师。

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