Learning Generative State Space Models for Active Inference
In this paper we investigate the active inference framework as a means to enable autonomous behavior in artificial agents. Active inference is a theoretical framework underpinning the way organisms act and observe in the real world. In active inference, agents act in order to minimize their so calle...
Main Authors: | Ozan Çatal, Samuel Wauthier, Cedric De Boom, Tim Verbelen, Bart Dhoedt |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-11-01
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Series: | Frontiers in Computational Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fncom.2020.574372/full |
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