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Preface to the Proceedings of SeLIE’22
0
Zitationen
2
Autoren
2022
Jahr
Abstract
Self-learning systems are artificial agents able to learn through interactions with their surrounding environment or directly from collected data without explicit programming instructions. They are adaptive systems able to learn based on experience, make inferences from several signals, and then take action to adapt to the dynamically changing environment. Developing such systems requires the use of various AI techniques covering vast areas of machine learning, reinforcement learning, image processing, normative reasoning
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