Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Lookahead Acquisition Functions for Finite-Horizon Time-Dependent
  Bayesian Optimization and Application to Quantum Optimal Control   We propose a novel Bayesian method to solve the maximization of a
time-dependent expensive-to-evaluate stochastic oracle. We are interested in
the decision that maximizes the oracle at a finite time horizon, given a
limited budget of noisy evaluations of the oracle that can be performed before
the horizon. Our recursive two-step lookahead acquisition function for Bayesian
optimization makes nonmyopic decisions at every stage by maximizing the
expected utility at the specified time horizon. Specifically, we propose a
generalized two-step lookahead framework with a customizable \emph{value}
function that allows users to define the utility. We illustrate how lookahead
versions of classic acquisition functions such as the expected improvement,
probability of improvement, and upper confidence bound can be obtained with
this framework. We demonstrate the utility of our proposed approach on several
carefully constructed synthetic cases and a real-world quantum optimal control
problem.

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The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
10
The categories of this paper are: q-bio
1
The categories of this paper are: cs
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga