Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning Time Reduction Using Warm Start Methods for a Reinforcement
  Learning Based Supervisory Control in Hybrid Electric Vehicle Applications   Reinforcement Learning (RL) is widely utilized in the field of robotics, and
as such, it is gradually being implemented in the Hybrid Electric Vehicle (HEV)
supervisory control. Even though RL exhibits excellent performance in terms of
fuel consumption minimization in simulation, the large learning iteration
number needs a long learning time, making it hardly applicable in real-world
vehicles. In addition, the fuel consumption of initial learning phases is much
worse than baseline controls. This study aims to reduce the learning iterations
of Q-learning in HEV application and improve fuel consumption in initial
learning phases utilizing warm start methods. Different from previous studies,
which initiated Q-learning with zero or random Q values, this study initiates
the Q-learning with different supervisory controls (i.e., Equivalent
Consumption Minimization Strategy control and heuristic control), and detailed
analysis is given. The results show that the proposed warm start Q-learning
requires 68.8% fewer iterations than cold start Q-learning. The trained
Q-learning is validated in two different driving cycles, and the results show
10-16% MPG improvement when compared to Equivalent Consumption Minimization
Strategy control. Furthermore, real-time feasibility is analyzed, and the
guidance of vehicle implementation is provided. The results of this study can
be used to facilitate the deployment of RL in vehicle supervisory control
applications.

18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph