Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: On the impact of MDP design for Reinforcement Learning agents in
  Resource Management   The recent progress in Reinforcement Learning applications to Resource
Management presents MDPs without a deeper analysis of the impacts of design
decisions on agent performance. In this paper, we compare and contrast four
different MDP variations, discussing their computational requirements and
impacts on agent performance by means of an empirical analysis. We conclude by
showing that, in our experiments, when using Multi-Layer Perceptrons as
approximation function, a compact state representation allows transfer of
agents between environments, and that transferred agents have good performance
and outperform specialized agents in 80\% of the tested scenarios, even without
retraining.

28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
37
The categories of this paper are: supr-con
13
The categories of this paper are: quant-ph
14
The categories of this paper are: math-ph
25
The categories of this paper are: patt-sol
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
15
The categories of this paper are: nucl-ex
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
18
The categories of this paper are: econ