activity
20192024
most citedReinforcement Learning through Active Inference

58 citations · 102 across the 15 of their papers we have counts for

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8 papers · 1 filter

cs.AI2024

Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory

Miguel de Llanza Varona, Christopher L. Buckley, Beren Millidge

Organisms have to keep track of the information in the environment that is relevant for adaptive behaviour. Transmitting information in an economical and efficient way becomes cruc…

cs.AI20211 cited

A Mathematical Walkthrough and Discussion of the Free Energy Principle

Beren Millidge, Anil Seth, Christopher L Buckley

The Free-Energy-Principle (FEP) is an influential and controversial theory which postulates a deep and powerful connection between the stochastic thermodynamics of self-organizatio…

cs.AI2021

Habitual and Reflective Control in Hierarchical Predictive Coding

Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley

In cognitive science, behaviour is often separated into two types. Reflexive control is habitual and immediate, whereas reflective is deliberative and time consuming. We examine th…

cs.AI20213 cited

Applications of the Free Energy Principle to Machine Learning and Neuroscience

Beren Millidge

In this PhD thesis, we explore and apply methods inspired by the free energy principle to two important areas in machine learning and neuroscience. The free energy principle is a g…

cs.AI20211 cited

Towards a Mathematical Theory of Abstraction

Beren Millidge

While the utility of well-chosen abstractions for understanding and predicting the behaviour of complex systems is well appreciated, precisely what an abstraction has…

cs.AI2020

Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm

Beren Millidge, Alexander Tschantz, Anil Seth +1

The recently proposed Activation Relaxation (AR) algorithm provides a simple and robust approach for approximating the backpropagation of error algorithm using only local learning…