Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Attend Before you Act: Leveraging human visual attention for continual
  learning   When humans perform a task, such as playing a game, they selectively pay
attention to certain parts of the visual input, gathering relevant information
and sequentially combining it to build a representation from the sensory data.
In this work, we explore leveraging where humans look in an image as an
implicit indication of what is salient for decision making. We build on top of
the UNREAL architecture in DeepMind Lab's 3D navigation maze environment. We
train the agent both with original images and foveated images, which were
generated by overlaying the original images with saliency maps generated using
a real-time spectral residual technique. We investigate the effectiveness of
this approach in transfer learning by measuring performance in the context of
noise in the environment.

13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
34
The categories of this paper are: chem-ph
18
The categories of this paper are: econ
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
5
The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci