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.
Links
Where it is published
- Dataverse dataset page redu.unicamp.br/dataset.xhtml?persistentId=doi%3A10.25824%2Fredu%2FI1YPLJ ↗
landing page · from redu unicamp br
- DOI doi.org/10.25824/redu/i1yplj ↗
DOI / persistent id · from redu unicamp br
Catalogue records · 1
- Dataverse API redu.unicamp.br/api/datasets/:persistentId/?persistentId=doi%3A10.25824%2Fredu… ↗
metadata API · from redu unicamp br
Topics
- Stated by source
- Computer and Information Science
- From keywords
- Artificial intelligence · Computer Science & AI · Machine learning
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| REDU - Unicamp Institutional Research Data Repository | doi:10.25824/redu/I1YPLJ | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4602 | mapping · redu unicamp br | vocabulary-mapper@1.0.0 | keywords['Artificial intelligence'] |
| concepts[field].anzsrc:group:4611 | mapping · redu unicamp br | vocabulary-mapper@1.0.0 | keywords['Machine learning'] |
| concepts[field].dataverse_subject:computer-and-information-science | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| created_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| description | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /description |
| publication_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| title | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /name |
| updated_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| version_label | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 |