
Simon ReichhuberKiel University | CAU · Department of Computer Science
Simon Reichhuber
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9
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Publications (9)
In many applications, robotic systems are monitored via camera systems. This helps with monitoring automated production processes, anomaly detection, and the refinement of the estimated robot's pose via optical tracking systems. While providing high precision and flexibility, the main limitation of such systems is their line-of-sight constraint. In...
MAZE environments are popular test environments for reinforcement learning techniques as they are characterised by a sequence of discrete decisions of a learner, i.e. a multi-step learning problem where the reward is just available after reaching a goal. Further, MAZE scenarios can easily be altered to change the complexity of the learning problem....
Intelligent systems have the ability to improve their behaviour over time taking observations, experiences or explicit feedback into account. Traditional approaches separate the learning problem and make isolated use of techniques from different field of machine learning such as reinforcement learning, active learning, anomaly detection or transfer...