Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: When Waiting is not an Option : Learning Options with a Deliberation
  Cost   Recent work has shown that temporally extended actions (options) can be
learned fully end-to-end as opposed to being specified in advance. While the
problem of "how" to learn options is increasingly well understood, the question
of "what" good options should be has remained elusive. We formulate our answer
to what "good" options should be in the bounded rationality framework (Simon,
1957) through the notion of deliberation cost. We then derive practical
gradient-based learning algorithms to implement this objective. Our results in
the Arcade Learning Environment (ALE) show increased performance and
interpretability.

36
The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
19
The categories of this paper are: eess
20
The categories of this paper are: acc-phys
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom
5
The categories of this paper are: gr-qc
16
The categories of this paper are: stat
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an
8
The categories of this paper are: hep-ex