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Håkan Hjalmarsson

2 accepted papers

2019

Robust exploration in linear quadratic reinforcement learning

NeurIPS 2019spotlight

Learning to make decisions in an uncertain and dynamic environment is a task of fundamental performance in a number of domains. This paper concerns the problem of learning control policies for an unknown linear dynamical system so as to minimize a quadratic cost function. We present a method, based…

2016

Piecewise sparse signal recovery via piecewise orthogonal matching pursuit

ICASSP 2016accepted

In this paper, we consider the recovery of piecewise sparse signals from incomplete noisy measurements via a greedy algorithm. Here piecewise sparse means that the signal can be approximated in certain domain with known number of nonzero entries in each piece/segment. This paper makes a two-fold con…

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