Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Projective simulation for classical learning agents: a comprehensive
  investigation   We study the model of projective simulation (PS), a novel approach to
artificial intelligence based on stochastic processing of episodic memory which
was recently introduced [H.J. Briegel and G. De las Cuevas. Sci. Rep. 2, 400,
(2012)]. Here we provide a detailed analysis of the model and examine its
performance, including its achievable efficiency, its learning times and the
way both properties scale with the problems' dimension. In addition, we situate
the PS agent in different learning scenarios, and study its learning abilities.
A variety of new scenarios are being considered, thereby demonstrating the
model's flexibility. Furthermore, to put the PS scheme in context, we compare
its performance with those of Q-learning and learning classifier systems, two
popular models in the field of reinforcement learning. It is shown that PS is a
competitive artificial intelligence model of unique properties and strengths.

34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
13
The categories of this paper are: quant-ph
18
The categories of this paper are: econ
7
The categories of this paper are: hep-th
33
The categories of this paper are: plasm-ph
29
The categories of this paper are: funct-an
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
20
The categories of this paper are: acc-phys