Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Robot in a China Shop: Using Reinforcement Learning for
  Location-Specific Navigation Behaviour   Robots need to be able to work in multiple different environments. Even when
performing similar tasks, different behaviour should be deployed to best fit
the current environment. In this paper, We propose a new approach to
navigation, where it is treated as a multi-task learning problem. This enables
the robot to learn to behave differently in visual navigation tasks for
different environments while also learning shared expertise across
environments. We evaluated our approach in both simulated environments as well
as real-world data. Our method allows our system to converge with a 26%
reduction in training time, while also increasing accuracy.

0
The categories of this paper are: hep-ph
4
The categories of this paper are: cond-mat
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
3
The categories of this paper are: physics
17
The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
28
The categories of this paper are: alg-geom
25
The categories of this paper are: patt-sol