AGI Maze Prediction Datasets: A Compact Benchmark for Learning World Dynamics with Transformers
cs.LG, cs.AI
Submitted: 2026-09-02
Updated: 2026-09-02
Code: https://github.com/Necr0x0Der/agimaze-predict
Terminology
Sources
- World Models
- Mastering Diverse Domains through World Models
- Contrastive Learning of Structured World Models
- Executable World Models for ARC-AGI-3 in the Era of Coding Agents
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- AGI Maze as a Benchmark Framework for World-Modeling Agents
- LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
- Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
- Neural Networks and the Chomsky Hierarchy
- Length Generalization in Arithmetic Transformers
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