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R. Szechtman

4 papers hereh-index 15743 citations68 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.GT1

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedCombinatorial Multi-Armed Bandits with Filtered Feedback

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

cs.GT2022

A stochastic game framework for patrolling a border

Matthew Darlington, Kevin D. Glazebrook, David S. Leslie +2

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…

cs.LG2020

Filtered Poisson Process Bandit on a Continuum

James A. Grant, Roberto Szechtman

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…

cs.LG2018

Adaptive Policies for Perimeter Surveillance Problems

James A. Grant, David S. Leslie, Kevin Glazebrook +2

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 se…

cs.LG2017★ 1 cited

Combinatorial Multi-Armed Bandits with Filtered Feedback

James A. Grant, David S. Leslie, Kevin Glazebrook +1

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.