Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning, transferring, and recommending performance knowledge with
  Monte Carlo tree search and neural networks   Making changes to a program to optimize its performance is an unscalable task
that relies entirely upon human intuition and experience. In addition,
companies operating at large scale are at a stage where no single individual
understands the code controlling its systems, and for this reason, making
changes to improve performance can become intractably difficult. In this paper,
a learning system is introduced that provides AI assistance for finding
recommended changes to a program. Specifically, it is shown how the evaluative
feedback, delayed-reward performance programming domain can be effectively
formulated via the Monte Carlo tree search (MCTS) framework. It is then shown
that established methods from computational games for using learning to
expedite tree-search computation can be adapted to speed up computing
recommended program alterations. Estimates of expected utility from MCTS trees
built for previous problems are used to learn a sampling policy that remains
effective across new problems, thus demonstrating transferability of
optimization knowledge. This formulation is applied to the Apache Spark
distributed computing environment, and a preliminary result is observed that
the time required to build a search tree for finding recommendations is reduced
by up to a factor of 10x.

16
The categories of this paper are: stat
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
10
The categories of this paper are: q-bio
7
The categories of this paper are: hep-th
3
The categories of this paper are: physics
17
The categories of this paper are: q-fin
18
The categories of this paper are: econ