PyHGF: A neural network library for predictive coding

Deep active inference agents using Monte-Carlo methods

PyTorch library for Active Fine-Tuning

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

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

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

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

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.

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

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

Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machines (LOD '24)

CogniRay is a differentiable geometric memory enabling real-time plasticity and semantic recall.

Playground for active inference in Python

This repository focused on enhancing the Active Inference Controller (AIC) for robotic manipulation tasks on an Interbotix PincherX 150 5-DOF Robot. A modified control framework called the Reactive Active Inference Controller (ReAIC) outperfors the AIC in adaptation experiments.

Multi-Agent Robot Learning algorithm using Deep Active Inference (DAI) for road hazard anomaly detection and Soft Actor Critic decomposed for multi-agent settings (mSAC)

Application of active inference to reinforcement learning.