Teaching Multiple Inverse Reinforcement Learners

In this paper, we propose the first machine teaching algorithm for multiple inverse reinforcement learners.As our initial contribution, we formalize the problem of optimally teaching a sequential task to a heterogeneous class of learners.We then contribute a theoretical analysis of such problem, identifying conditions under which it is possible to

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PERBANDINGAN KINERJA KEUANGAN PERUSAHAAN SEBELUM DAN SESUDAH MERGER DAN AKUISISI (PADA PERUSAHAAN PENGAKUISISI YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2004-2006)

The purpose of this study was to examine the differences in the financial performance of the acquirer pre and post mergers and acquisitions.Financial performance is measured with some ratios, Current Ratio (CR), Total Assets Turnover (TATO), Debt Ratio (DR), Return on Assets (ROA), and Price Earnings Ratio (PER).Population of this study included al

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