Deep active inference agents using Monte-Carlo methods

PyHGF: A neural network library for predictive coding

Official Implementation for the paper "R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"

PyTorch library for Active Fine-Tuning

Implementation/simulation of active neural generative coding (ANGC) for training neurobiologically-plausible active inference agent models.

PID-like control implemented as active inference with linear generative models

[NeurIPS 2021] Contrastive learning formulation of the active inference framework, for matching visual goal states.

Active Inference & Category Theory

Homing Piegon is an inference framework implementing Variational Message Passing. It can be used to implement an Active Inference agent that performs planning using a Tree Search algorithm that can been seen as a form of Bayesian Model Expansion.

Active inference agent and corresponding environment in Unity used in the study "A deep active inference model of the rubber-hand illusion"

Official implementation of paper "A neural active inference model of perceptual-motor learning" published on Computational Neuroscience in 2023.

Archive of active inference agents based on reactive message passing.

A Bayesian cruise controller. A minimal model of velocity regulation for a block on a frictionless surface.

Code, figures, animations for a NARX-EFE based agent.

Deep Active Inference of Mountain Car Problem

DIE — is an Artificial Life project aimed at reproducing emergence of distributed intelligence under environmental pressures using learning cellular automata models.