Inferring time-varying internal models of agents through dynamic structure learning.

Authors

Alexandre Muzy (ORCID: https://orcid.org/0000-0002-8594-1672)
Ingrid Bethus (ORCID: https://orcid.org/0000-0001-8356-6963)
Ashwin Moongathottathil James

Institutions

Université Paris-Saclay (FR)
Centre National pour la Recherche Scientifique et Technique (CNRST) (MA)
Institut Für Angewandte Kulturforschung (DE)
Institut de Pharmacologie Moléculaire et Cellulaire (FR)

Publication Details

Journal: Behavioral Neuroscience
Published: 2026-03-26
DOI: https://doi.org/10.1037/bne0000642
Primary Topic: Reinforcement Learning in Robotics
Type: article
Field-Weighted Citation Impact: 0.00

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article

Inferring time-varying internal models of agents through dynamic structure learning.

Alexandre Muzy, Ingrid Bethus, Ashwin Moongathottathil James

Mar 26, 2026

Behavioral Neuroscience

Reinforcement Learning in Robotics

article

Inferring time-varying internal models of agents through dynamic structure learning.

Alexandre Muzy, Ingrid Bethus, Ashwin Moongathottathil James

March 26, 2026article en

Abstract

No abstract available for this paper.

Behavioral NeuroscienceVol. 140(2)

Université Paris-Saclay (FR), Centre National pour la Recherche Scientifique et Technique (CNRST) (MA), Institut Für Angewandte Kulturforschung (DE), Institut de Pharmacologie Moléculaire et Cellulaire (FR)

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Openalex Percentile: Top 8%

Reinforcement Learning in Robotics

DOI Source OpenAlex

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