Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Reinforcement-Learning-based Driving Policy for Autonomous Road
  Vehicles   In this work the problem of path planning for an autonomous vehicle that
moves on a freeway is considered. The most common approaches that are used to
address this problem are based on optimal control methods, which make
assumptions about the model of the environment and the system dynamics. On the
contrary, this work proposes the development of a driving policy based on
reinforcement learning. In this way, the proposed driving policy makes minimal
or no assumptions about the environment, since a priori knowledge about the
system dynamics is not required. Driving scenarios where the road is occupied
both by autonomous and manual driving vehicles are considered. To the best of
our knowledge, this is one of the first approaches that propose a reinforcement
learning driving policy for mixed driving environments. The derived
reinforcement learning policy, firstly, is compared against an optimal policy
derived via dynamic programming, and, secondly, its efficiency is evaluated
under realistic scenarios generated by the established SUMO microscopic traffic
flow simulator. Finally, some initial results regarding the effect of
autonomous vehicles' behavior on the overall traffic flow are presented.

5
The categories of this paper are: gr-qc
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
2
The categories of this paper are: math
18
The categories of this paper are: econ
7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an
13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph
32
The categories of this paper are: atom-ph