Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Limited depth bandit-based strategy for Monte Carlo planning in
  continuous action spaces   This paper addresses the problem of optimal control using search trees. We
start by considering multi-armed bandit problems with continuous action spaces
and propose LD-HOO, a limited depth variant of the hierarchical optimistic
optimization (HOO) algorithm. We provide a regret analysis for LD-HOO and show
that, asymptotically, our algorithm exhibits the same cumulative regret as the
original HOO while being faster and more memory efficient. We then propose a
Monte Carlo tree search algorithm based on LD-HOO for optimal control problems
and illustrate the resulting approach's application in several optimal control
problems.

37
The categories of this paper are: supr-con
10
The categories of this paper are: q-bio
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
9
The categories of this paper are: nlin
5
The categories of this paper are: gr-qc
33
The categories of this paper are: plasm-ph
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The categories of this paper are: eess
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex