Deep active inference agents using Monte-Carlo methods

PyHGF: A neural network library for predictive coding

PyTorch library for Active Fine-Tuning

Official Implementation for the paper "R-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.

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 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.

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

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

Playground for active inference in Python

Application of active inference to reinforcement learning.

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)