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08/15/2023
Hierarchical generative modelling for autonomous robots
Humans can produce complex whole-body motions when interacting with thei...
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07/02/2023
On efficient computation in active inference
Despite being recognized as neurobiologically plausible, active inferenc...
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07/25/2022
Modelling non-reinforced preferences using selective attention
How can artificial agents learn non-reinforced preferences to continuous...
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03/23/2022
Reclaiming saliency: rhythmic precision-modulated action and perception
Computational models of visual attention in artificial intelligence and ...
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09/21/2021
Active inference, Bayesian optimal design, and expected utility
Active inference, a corollary of the free energy principle, is a formal ...
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08/27/2021
Active Inference for Stochastic Control
Active inference has emerged as an alternative approach to control probl...
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07/12/2021
Bayesian brains and the Rényi divergence
Under the Bayesian brain hypothesis, behavioural variations can be attri...
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06/08/2021
Exploration and preference satisfaction trade-off in reward-free learning
Biological agents have meaningful interactions with their environment de...
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09/17/2020
The relationship between dynamic programming and active inference: the discrete, finite-horizon case
Active inference is a normative framework for generating behaviour based...
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06/07/2020
Deep active inference agents using Monte-Carlo methods
Active inference is a Bayesian framework for understanding biological in...
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09/24/2019
Demystifying active inference
Active inference is a first (Bayesian) principles account of how autonom...
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11/26/2018