Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Szechtman, Roberto"'
In this paper we consider a stochastic game for modelling the interactions between smugglers and a patroller along a border. The problem we examine involves a group of cooperating smugglers making regular attempts to bring small amounts of illicit go
Externí odkaz:
http://arxiv.org/abs/2205.10017
Autor:
Grant, James A., Szechtman, Roberto
We consider a version of the continuum armed bandit where an action induces a filtered realisation of a non-homogeneous Poisson process. Point data in the filtered sample are then revealed to the decision-maker, whose reward is the total number of re
Externí odkaz:
http://arxiv.org/abs/2007.09966
Publikováno v:
In European Journal of Operational Research 16 December 2023 311(3):1146-1158
Maximising the detection of intrusions is a fundamental and often critical aim of perimeter surveillance. Commonly, this requires a decision-maker to optimally allocate multiple searchers to segments of the perimeter. We consider a scenario where the
Externí odkaz:
http://arxiv.org/abs/1810.02176
Motivated by problems in search and detection we present a solution to a Combinatorial Multi-Armed Bandit (CMAB) problem with both heavy-tailed reward distributions and a new class of feedback, filtered semibandit feedback. In a CMAB problem an agent
Externí odkaz:
http://arxiv.org/abs/1705.09605
Autor:
Grant, James A., Szechtman, Roberto
Publikováno v:
In European Journal of Operational Research 1 December 2021 295(2):575-586
Publikováno v:
In European Journal of Operational Research 16 May 2020 283(1):265-278
Publikováno v:
In International Journal of Drug Policy January 2017 39:43-51
Publikováno v:
Operations Research, 2013 May 01. 61(3), 762-776.
Externí odkaz:
http://dx.doi.org/10.1287/opre.2013.1163
Publikováno v:
In Mathematical Social Sciences November 2012 64(3):203-213