State Representation Learning for Control: An Overview

12 Feb 2018Timothée LesortNatalia Díaz-RodríguezJean-François GoudouDavid Filliat

Representation learning algorithms are designed to learn abstract features that characterize data. State representation learning (SRL) focuses on a particular kind of representation learning where learned features are in low dimension, evolve through time, and are influenced by actions of an agent... (read more)

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