Sophisticated Learning Implementations: MATLAB and Python code for the "Sophisticated Learning" algorithm from Hodson et al.'s research on model-based planning.
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Updated
Aug 22, 2024 - Jupyter Notebook
Sophisticated Learning Implementations: MATLAB and Python code for the "Sophisticated Learning" algorithm from Hodson et al.'s research on model-based planning.
Deep Active Inference of Mountain Car Problem
Application of active inference to reinforcement learning.
Archive of active inference agents based on reactive message passing.
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.
Official Implementation for the paper "R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"
Code, figures, animations for a NARX-EFE based agent.
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.
Design of an acrobot stabilization controller using active inference.
This repository contains all the code relevant to my PhD research (2019-2023) at University of Amsterdam, funded by a Research Talent Grant from Netherlands Organisation for Scientific Research (NWO). Pursuant to the Open Access requirements of the NWO, all code here is published on the basis of an MIT licence or equivalent.
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)
Active Inference & Category Theory
Expected free energy minimization with approximations to nonlinear observation functions
Design of an oscillator position controller using active inference.
Official implementation of paper "A neural active inference model of perceptual-motor learning" published on Computational Neuroscience in 2023.
Book chapter - dev code
Playground for active inference in Python
Personal website of Leo D'Amato
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