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 Bath 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 possibl