Architecture and training of an FEPS agent.

<p>a) Architecture of a FEPS agent, with four sensory states (squares) and two possible actions (diamonds). The agent has two main components: the world model and the policy. The world model is composed of vertices representing observations (squares) while clone clips represent all values a be...

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Bibliographic Details
Main Author:	Joséphine Pazem (22184363) (author)
Other Authors:	Marius Krumm (22184366) (author), Alexander Q. Vining (11320591) (author), Lukas J. Fiderer (4865587) (author), Hans J. Briegel (6383642) (author)
Published:	2025
Subjects:	Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified using internal rewards partially observable grid free energy principle expected free energy agents &# 8217 timed response task various reinforcement learning partially observable environments feps agents build interpretability </ p build upon model agents navigation task given task feps ). feps model xlink "> understanding aspects term goals target observation results show recent work prediction accuracy observations based multidisciplinary interest mathematical models last decade including elements constraints imposed complex environments behavioral biology appropriately contextualizing active inference
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Architecture and training of an FEPS agent.

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