AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models
Introduces a novel Active Inference architecture that accelerates learning in low-data environments by embedding object-centric priors and modeling sp…
Category: Scientific Research Papers
Agentic rulebooks using active inference: An artificial intelligence application for environmental sustainability
Resources – Scientific Research Papers Agentic rulebooks using active inference: An artificial intelligence application for environmental sustainability Axel Constant, Marco Perin, Hari Thiruvengada, and Karl…
Beyond Imitation Games: A Falsifiable Emergent Sentience Framework
The paper by Hipolito, Albarracin, and Hynes presents a framework for minimal sentience based on self-maintenance, adaptability, and agency. It emphas…
Noumenal Labs White Paper: How To Build A Brain
The Noumenal Labs White Paper outlines design principles for artificial intelligence, focusing on resolving the grounding problem. It emphasizes creat…
Benchmarking Predictive Coding Networks — Made Simple
The paper addresses efficiency and scalability issues in predictive coding networks (PCNs) by introducing a library called PCX. This open-source tool …
Gradient-free variational learning with conditional mixture networks
The study introduces CAVICMN, a gradient-free variational method for training conditional mixture networks (CMNs), enhancing computational efficiency …
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
The paper introduces a novel algorithm, Divide-and-Conquer Predictive Coding (DCPC), which enhances Bayesian inference in structured generative models…
GenRL: Multimodal-foundation world models for generalization in embodied agents
GenRL presents a novel multimodal-foundation world model for developing generalist embodied agents capable of handling diverse tasks. By integrating v…
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
This research explores the geometry of the predictive coding (PC) energy landscape and its impact on learning efficiency. It demonstrates that equilib…
A hierarchical active inference model of spatial alternation tasks and the hippocampal-prefrontal circuit
The study presents a hierarchical active inference model illustrating how the hippocampal-prefrontal circuit integrates navigational systems for spati…