Learning and exploration in action-perception loops
نویسندگان
چکیده
منابع مشابه
Learning and exploration in action-perception loops
Discovering the structure underlying observed data is a recurring problem in machine learning with important applications in neuroscience. It is also a primary function of the brain. When data can be actively collected in the context of a closed action-perception loop, behavior becomes a critical determinant of learning efficiency. Psychologists studying exploration and curiosity in humans and ...
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ژورنال
عنوان ژورنال: Frontiers in Neural Circuits
سال: 2013
ISSN: 1662-5110
DOI: 10.3389/fncir.2013.00037