Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Probabilistic Framework for Imitating Human Race Driver Behavior   Understanding and modeling human driver behavior is crucial for advanced
vehicle development. However, unique driving styles, inconsistent behavior, and
complex decision processes render it a challenging task, and existing
approaches often lack variability or robustness. To approach this problem, we
propose Probabilistic Modeling of Driver behavior (ProMoD), a modular framework
which splits the task of driver behavior modeling into multiple modules. A
global target trajectory distribution is learned with Probabilistic Movement
Primitives, clothoids are utilized for local path generation, and the
corresponding choice of actions is performed by a neural network. Experiments
in a simulated car racing setting show considerable advantages in imitation
accuracy and robustness compared to other imitation learning algorithms. The
modular architecture of the proposed framework facilitates straightforward
extensibility in driving line adaptation and sequencing of multiple movement
primitives for future research.

8
The categories of this paper are: hep-ex
26
The categories of this paper are: bayes-an
21
The categories of this paper are: adap-org
9
The categories of this paper are: nlin
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
36
The categories of this paper are: cmp-lg
11
The categories of this paper are: hep-lat
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat
19
The categories of this paper are: eess
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph