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Data · dataset · 2026

World machine - Data & Report - Toy1D - Experiment 2 best long

Listed in REDU - Unicamp Institutional Research Data Repository

In the previous experiment, Experiment 1 Configuration Test, we found the best model configuration for a World Machine trained on the Toy1D dataset.

Description

However, a question that arises after that is: what is the maximum performance we can achieve with this configuration? In this experiment, we investigate what happens when we train the model for longer.

Also, we took this opportunity to explore the effect of the learning rate scheduler used, Cosine Annealing with Warmup. World Machine is a research project that investigates the concept and creation of computational world models. These AI systems create internal representations to understand and make predictions about the external world.

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The project is part of the H.IAAC, the Hub for Artificial Intelligence and Cognitive Architecture, located at the Universidade Estadual de Campinas (UNICAMP), Brazil.

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REDU - Unicamp Institutional Research Data Repositorydoi:10.25824/redu/I1YPLJ12 d agoJSON v1
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