Variational Bayes Gaussian Splatting
The paper presents Variational Bayes Gaussian Splatting (VBGS) as an innovative method for 3D scene modeling using Gaussian mixtures. VBGS overcomes t…
Category: Scientific Research Papers
R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models
The research paper introduces novel techniques in active inference for continuous action POMDPs focusing on sparse reward signals. It highlights impro…
Predictive Coding with Spiking Neural Networks: a Survey
This article surveys spiking predictive coding, a class of neuro-mimetic computational models. It explores how prediction errors are represented and c…
From pixels to planning: scale-free active inference
The paper introduces a scale-free active inference model that generalizes partially observed Markov decision processes by incorporating latent variabl…
Aligning Active Inference Ontology to SUMO
The document outlines a preliminary alignment of Active Inference terminology with the Suggested Upper Merged Ontology (SUMO) entities. Its purpose is…
Sustainability under Active Inference
The paper examines the interplay between sustainability, resilience, and well-being through the active inference framework. It defines sustainability …
Feeling our place in the world: an active inference account of self-esteem
The paper discusses self-esteem as an active inference process, linking it to an individual's social perceptions and environmental expectations. It hi…
On Predictive planning and counterfactual learning in active inference
The paper explores active inference as a framework for understanding intelligent behavior in decision-making, examining 'planning' and 'learning from …
Active Inference as a Model of Agency
The paper discusses active inference as a model of agency beyond mere reward maximization. It combines exploration and exploitation while minimizing r…
Shared Protentions in Multi-Agent Active Inference
The paper integrates Husserlian phenomenology, active inference in theoretical biology, and category theory to create a framework for understanding so…