Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mean-based Heuristic Search for Real-Time Planning   In this paper, we introduce a new heuristic search algorithm based on mean
values for real-time planning, called MHSP. It consists in associating the
principles of UCT, a bandit-based algorithm which gave very good results in
computer games, and especially in Computer Go, with heuristic search in order
to obtain a real-time planner in the context of classical planning. MHSP is
evaluated on different planning problems and compared to existing algorithms
performing on-line search and learning. Besides, our results highlight the
capacity of MHSP to return plans in a real-time manner which tend to an optimal
plan over the time which is faster and of better quality compared to existing
algorithms in the literature.

31
The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int
16
The categories of this paper are: stat
15
The categories of this paper are: nucl-ex
3
The categories of this paper are: physics
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
21
The categories of this paper are: adap-org
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math