Deep active inference agents using Monte-Carlo methods
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Updated
Oct 19, 2021 - Python
Deep active inference agents using Monte-Carlo methods
PyHGF: A neural network library for predictive coding
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.
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 & Category Theory
Active inference agent and corresponding environment in Unity used in the study "A deep active inference model of the rubber-hand illusion"
Archive of active inference agents based on reactive message passing.
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.
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.
Playground for active inference in Python
Application of active inference to reinforcement learning.
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