75 results for “topic:active-inference”
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"
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Implementation/simulation of active neural generative coding (ANGC) for training neurobiologically-plausible active inference agent models.
[NeurIPS 2021] World modelling and action learning using a contrastive formulation of the active inference framework, for reaching visual goal states
MLSS-2026 Melbourne Bert's lectures
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Manuscript source: Self-orthogonalizing attractor neural networks emerging from the free energy principle
PID-like control implemented as active inference with linear generative models
Active Inference & Category Theory
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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"
Deep Active Inference (Deep AIF) Agents
DIE — is an Artificial Life project aimed at reproducing emergence of distributed intelligence under environmental pressures using learning cellular automata models.
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.
An active inference agent based on expected free energy minimization with a nonlinear autoregressive exogenous model.
The Loop-Dominance Theory of Consciousness.
Expected free energy minimization with approximations to nonlinear observation functions
Beamer presentation on Modeling OCD using Active Inference and RL
Deep Active Inference of Mountain Car Problem
Playground for active inference in Python
Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machines (LOD '24)
V-DV4 Active Inference: 128D Latent RSSM Manifolds. Agents minimize Variational Free Energy via 5 to 10-steps hallucinatory rollouts. Utilizing MHA Transformer Actors, behavior is optimized via BPTT through imagined time. Latent reconstruction and behavioral polymorphism under extreme thermodynamic scarcity. Zero-supervision sandbox.