TEACHING MULTIPLE INVERSE REINFORCEMENT LEARNERS

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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Identification of patients undergoing chronic kidney replacement therapy in primary and secondary care data: validation study based on OpenSAFELY and UK Renal Registry

Objective To validate primary and secondary care codes in electronic health records to identify people receiving chronic kidney replacement therapy based on gold standard registry data.Design Validation study using data from OpenSAFELY and the UK Renal Registry, with the approval of NHS England.Setting Primary and secondary care electronic health r

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The complete chloroplast and mitochondrial genome sequences of Boea hygrometrica: insights into the evolution of plant organellar genomes.

The complete nucleotide sequences of the chloroplast (cp) and mitochondrial (mt) genomes of resurrection plant Boea hygrometrica (Bh, Gesneriaceae) have Buttons been determined with the lengths of 153,493 bp and 510,519 bp, respectively.The smaller chloroplast genome contains more genes (147) with a 72% coding sequence, and the larger mitochondrial

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