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