Explainable Reinforcement Learning for Longitudinal Control

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The following article, presents the research which I conducted together with Jan Dohmen and Marco Wiering.

TL;DR: Reinforcement Learning is showing promise in achieving optimal performances in numerous applications. However, as long as the learned actions remain intransparent, their use in security-relevant applications is unlikely. …

Just try our new

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Here I present research with Jan Dohmen and Christoph Friebel.

Motivation

Recent years have seen a surge of applicative successes using Reinforcement Learning (RL) [1] to solve challenging games and smaller domain problems [2][3][4]. These successes in RL have been achieved in part due to the strong collaborative effort by the…

Roman Liessner

Hi, I’m Roman, an Engineer with a PhD in Automotive Engineering and a passion for Artificial Intelligence.

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