PHASE AND MORPHOLOGY EVOLUTION OF (NA1-XKX)NBO3 POWDERS RELATED TO CALCINATIONS AND K2CO3 CONTENT


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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