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

Version 1.0
Nascimento, Elton Cardoso do; Costa, Paula Dornhofer Paro, 2026, "World machine - Data & Report - Toy1D - Experiment 2 best long", https://doi.org/10.25824/redu/I1YPLJ, Repositório de Dados de Pesquisa da Unicamp , V1
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Description
In the previous experiment, Experiment 1 Configuration Test, we found the best model configuration for a World Machine trained on the Toy1D dataset. 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. 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. (2025-12-04)
Subject Computer and Information Science
Keyword World model, Machine learning, Artificial intelligence
Related Publication NASCIMENTO, Elton Cardoso; COSTA, Paula Dornhofer Paro. World Machine (Software). 2026. doi: 10.25824/redu/2YNOHE
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