46 citations · 83 across the 14 of their papers we have counts for
5 papers · 1 filter
Expected Free Energy-based Planning as Variational Inference
Bert de Vries, Wouter Nuijten, Thijs van de Laar +13
We address the problem of planning under uncertainty, where an agent must choose actions that not only achieve desired outcomes but also reduce uncertainty. Traditional methods oft…
Realising Synthetic Active Inference Agents, Part II: Variational Message Updates
Thijs van de Laar, Magnus Koudahl, Bert de Vries
The Free Energy Principle (FEP) describes (biological) agents as minimising a variational Free Energy (FE) with respect to a generative model of their environment. Active Inference…
Active Inference and Epistemic Value in Graphical Models
Thijs van de Laar, Magnus Koudahl, Bart van Erp +1
The Free Energy Principle (FEP) postulates that biological agents perceive and interact with their environment in order to minimize a Variational Free Energy (VFE) with respect to…
Chance-Constrained Active Inference
Thijs van de Laar, Ismail Senoz, Ayça Özçelikkale +1
Active Inference (ActInf) is an emerging theory that explains perception and action in biological agents, in terms of minimizing a free energy bound on Bayesian surprise. Goal-dire…
A Probabilistic Modeling Approach to Hearing Loss Compensation
Thijs van de Laar, Bert de Vries
Hearing Aid (HA) algorithms need to be tuned ("fitted") to match the impairment of each specific patient. The lack of a fundamental HA fitting theory is a strong contributing facto…