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Mina Ferizbegovic

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…

2018

Rapidly-Exploring Random Vines (RRV) for Motion Planning in Configuration Spaces with Narrow Passages

ICRA 2018poster

Classical RRT algorithm is blind to efficiently explore configuration space for expanding the tree through a narrow passage when solving a motion planning (MP) problem. Although there have been several attempts to deal with narrow passages which are based on a wide spectrum of assumptions and config…

Cited by 49SourceScholar