Representation Learning in Partially Observable Environments using Sensorimotor Prediction

In order to explore and act autonomously in an environment, an agent needs to learn from the sensorimotor information that is captured while acting. By extracting the regularities in this sensorimotor stream, it can learn a model of the world, which in turn can be used as a basis for action and expl...

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Bibliographische Detailangaben

Hauptverfasser:	Kulak, Thibaut, Ortiz, Michael Garcia
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Robotics
Online-Zugang:	Volltext bestellen
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