activity
20102023
most citedReinforcement Learning through Active Inference

58 citations · 394 across the 35 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

cs.RO2021★ 56 cited

Active Inference in Robotics and Artificial Agents: Survey and Challenges

Pablo Lanillos, Cristian Meo, Corrado Pezzato +8

Active inference is a mathematical framework which originated in computational neuroscience as a theory of how the brain implements action, perception and learning. Recently, it ha…

cs.AI2021★ 1 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.AI2021★ 26 cited

Predictive Coding: a Theoretical and Experimental Review

Beren Millidge, Anil Seth, Christopher L Buckley

Predictive coding offers a potentially unifying account of cortical function -- postulating that the core function of the brain is to minimize prediction errors with respect to a g…

q-bio.NC2021★ 9 cited

How particular is the physics of the free energy principle?

Miguel Aguilera, Beren Millidge, Alexander Tschantz +1

The free energy principle (FEP) states that any dynamical system can be interpreted as performing Bayesian inference upon its surrounding environment. In this work, we examine in d…

cs.LG2021★ 2 cited

Understanding the Origin of Information-Seeking Exploration in Probabilistic Objectives for Control

Beren Millidge, Anil Seth, Christopher Buckley

The exploration-exploitation trade-off is central to the description of adaptive behaviour in fields ranging from machine learning, to biology, to economics. While many approaches…