Reinforcement Teaching. (arXiv:2204.11897v1 [cs.LG])

We propose Reinforcement Teaching: a framework for meta-learning in which a
teaching policy is learned, through reinforcement, to control a student's
learning process. The student's learning process is modelled as a Markov reward
process and the teacher, with its action-space, interacts with the induced
Markov decision process. We show that, for many learning processes, the
student's learnable parameters form a Markov state. To avoid having the teacher
learn directly from parameters, we propose the Parameter Embedder that learns a
representation …

arxiv reinforcement teaching