Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Intrinsically motivated reinforcement learning for human-robot
  interaction in the real-world   For a natural social human-robot interaction, it is essential for a robot to
learn the human-like social skills. However, learning such skills is
notoriously hard due to the limited availability of direct instructions from
people to teach a robot. In this paper, we propose an intrinsically motivated
reinforcement learning framework in which an agent gets the intrinsic
motivation-based rewards through the action-conditional predictive model. By
using the proposed method, the robot learned the social skills from the
human-robot interaction experiences gathered in the real uncontrolled
environments. The results indicate that the robot not only acquired human-like
social skills but also took more human-like decisions, on a test dataset, than
a robot which received direct rewards for the task achievement.

32
The categories of this paper are: atom-ph
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
16
The categories of this paper are: stat
23
The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
15
The categories of this paper are: nucl-ex
8
The categories of this paper are: hep-ex
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin
7
The categories of this paper are: hep-th