most citedImproved bound on the worst case complexity of Policy Iteration

6 citations · 9 across the 3 of their papers we have counts for

collaborators

5 papers

math.PR2024

Simultaneous Cutoff on the Multitype Configuration Model

John Fernley, Balázs Gerencsér

We find Gaussian cutoff profiles for the total variation distance to stationarity of a random walk on a multiplex network: a finite number of directed configuration models sharing…

math.PR2023

Improved Mixing Rates of Directed Cycles with Additional Sparse Interconnections

Balázs Gerencsér, Julien M. Hendrickx

We analyze the absolute spectral gap of Markov chains on graphs obtained from a cycle of vertices and perturbed only at approximately random locations with an appropr…

cs.CC20146 cited

Improved bound on the worst case complexity of Policy Iteration

Romain Hollanders, Balázs Gerencsér, Jean-Charles Delvenne +1

Solving Markov Decision Processes (MDPs) is a recurrent task in engineering. Even though it is known that solutions for minimizing the infinite horizon expected reward can be found…

cs.DM20143 cited

A complexity analysis of Policy Iteration through combinatorial matrices arising from Unique Sink Orientations

Romain Hollanders, Balázs Gerencsér, Jean-Charles Delvenne +1

Unique Sink Orientations (USOs) are an appealing abstraction of several major optimization problems of applied mathematics such as for instance Linear Programming (LP), Markov Deci…

math.OC2014

Optimal one-dimensional coverage by unreliable sensors

Paolo Frasca, Federica Garin, Balazs Gerencser +1

This paper regards the problem of optimally placing unreliable sensors in a one-dimensional environment. We assume that sensors can fail with a certain probability and we minimize…