Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Projective simulation applied to the grid-world and the mountain-car
  problem   We study the model of projective simulation (PS) which is a novel approach to
artificial intelligence (AI). Recently it was shown that the PS agent performs
well in a number of simple task environments, also when compared to standard
models of reinforcement learning (RL). In this paper we study the performance
of the PS agent further in more complicated scenarios. To that end we chose two
well-studied benchmarking problems, namely the "grid-world" and the
"mountain-car" problem, which challenge the model with large and continuous
input space. We compare the performance of the PS agent model with those of
existing models and show that the PS agent exhibits competitive performance
also in such scenarios.

26
The categories of this paper are: bayes-an
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
16
The categories of this paper are: stat
18
The categories of this paper are: econ
17
The categories of this paper are: q-fin
6
The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom
9
The categories of this paper are: nlin