Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Heuristics, Answer Set Programming and Markov Decision Process for
  Solving a Set of Spatial Puzzles   Spatial puzzles composed of rigid objects, flexible strings and holes offer
interesting domains for reasoning about spatial entities that are common in the
human daily-life's activities. The goal of this work is to investigate the
automated solution of this kind of puzzles adapting an algorithm that combines
Answer Set Programming (ASP) with Markov Decision Process (MDP), algorithm
oASP(MDP), to use heuristics accelerating the learning process. ASP is applied
to represent the domain as an MDP, while a Reinforcement Learning algorithm
(Q-Learning) is used to find the optimal policies. In this work, the heuristics
were obtained from the solution of relaxed versions of the puzzles. Experiments
were performed on deterministic, non-deterministic and non-stationary versions
of the puzzles. Results show that the proposed approach can accelerate the
learning process, presenting an advantage when compared to the non-heuristic
versions of oASP(MDP) and Q-Learning.

20
The categories of this paper are: acc-phys
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
16
The categories of this paper are: stat
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
8
The categories of this paper are: hep-ex
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an
35
The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci
19
The categories of this paper are: eess