GitHub

A real-time demonstration of learning Adaptable World Models with Latent Actions using the Agno framework.

The development of this repository was inspired by the paper "AdaWorld: Learning Adaptable World Models with Latent Actions". To read the entire paper, visit https ...
GitHub

Stroke capacity planning model: python DES RAP

This repository is an example accompanying the DES RAP Book — an open educational resource on reproducible discrete-event simulation (DES) in Python and R. The book demonstrates best practices for ...
IEEE

Sensor Model Identification via Simultaneous Model Selection and State Variable Determination

Abstract: We present a method for the unattended gray-box identification of sensor models commonly used by localization algorithms in the field of robotics. The objective is to determine the most ...
IEEE

Distributional Latent Variable Models With an Application in Active Cognitive Testing

Abstract: Cognitive modeling commonly relies on asking participants to complete a battery of varied tests to estimate attention, working memory, and other latent variables. In many cases, these tests ...