Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Pragmatic Implementation of Reinforcement Algorithms For Path Finding On
  Raspberry Pi   In this paper, pragmatic implementation of an indoor autonomous delivery
system that exploits Reinforcement Learning algorithms for path planning and
collision avoidance is audited. The proposed system is a cost-efficient
approach that is implemented to facilitate a Raspberry Pi controlled
four-wheel-drive non-holonomic robot map a grid. This approach computes and
navigates the shortest path from a source key point to a destination key point
to carry out the desired delivery. Q learning and Deep-Q learning are used to
find the optimal path while avoiding collision with static obstacles. This work
defines an approach to deploy these two algorithms on a robot. A novel
algorithm to decode an array of directions into accurate movements in a certain
action space is also proposed. The procedure followed to dispatch this system
with the said requirements is described, ergo presenting our proof of concept
for indoor autonomous delivery vehicles.

32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
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
11
The categories of this paper are: hep-lat
23
The categories of this paper are: solv-int
4
The categories of this paper are: cond-mat
24
The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph