Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mastering Rate based Curriculum Learning   Recent automatic curriculum learning algorithms, and in particular
Teacher-Student algorithms, rely on the notion of learning progress, making the
assumption that the good next tasks are the ones on which the learner is making
the fastest progress or digress. In this work, we first propose a simpler and
improved version of these algorithms. We then argue that the notion of learning
progress itself has several shortcomings that lead to a low sample efficiency
for the learner. We finally propose a new algorithm, based on the notion of
mastering rate, that significantly outperforms learning progress-based
algorithms.

24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
14
The categories of this paper are: math-ph
19
The categories of this paper are: eess
2
The categories of this paper are: math
12
The categories of this paper are: nucl-th
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
23
The categories of this paper are: solv-int
13
The categories of this paper are: quant-ph
15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys