ELAND BROWSING OF GREWIA OCCIDENTALIS IN SEMI-ARID SHRUBLAND: THE INFLUENCE OF BUSH CLUMPS


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 Camera Grip then contribute a theoretical analysis of such problem, identifying conditions under which it is

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