Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DRL: Deep Reinforcement Learning for Intelligent Robot Control --
  Concept, Literature, and Future   Combination of machine learning (for generating machine intelligence),
computer vision (for better environment perception), and robotic systems (for
controlled environment interaction) motivates this work toward proposing a
vision-based learning framework for intelligent robot control as the ultimate
goal (vision-based learning robot). This work specifically introduces deep
reinforcement learning as the the learning framework, a General-purpose
framework for AI (AGI) meaning application-independent and
platform-independent. In terms of robot control, this framework is proposing
specifically a high-level control architecture independent of the low-level
control, meaning these two required level of control can be developed
separately from each other. In this aspect, the high-level control creates the
required intelligence for the control of the platform using the recorded
low-level controlling data from that same platform generated by a trainer. The
recorded low-level controlling data is simply indicating the successful and
failed experiences or sequences of experiments conducted by a trainer using the
same robotic platform. The sequences of the recorded data are composed of
observation data (input sensor), generated reward (feedback value) and action
data (output controller). For experimental platform and experiments, vision
sensors are used for perception of the environment, different kinematic
controllers create the required motion commands based on the platform
application, deep learning approaches generate the required intelligence, and
finally reinforcement learning techniques incrementally improve the generated
intelligence until the mission is accomplished by the robot.

2
The categories of this paper are: math
23
The categories of this paper are: solv-int
13
The categories of this paper are: quant-ph
37
The categories of this paper are: supr-con
27
The categories of this paper are: comp-gas
5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
22
The categories of this paper are: chao-dyn
18
The categories of this paper are: econ
19
The categories of this paper are: eess
17
The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
35
The categories of this paper are: mtrl-th