Neural Relational Inference with Fast Modular Meta-learning

1 code implementation • NeurIPS 2019 • Ferran Alet, Erica Weng, Tomás Lozano Pérez, Leslie Pack Kaelbling

Framing inference as the inner-loop optimization of meta-learning leads to a model-based approach that is more data-efficient and capable of estimating the state of entities that we do not observe directly, but whose existence can be inferred from their effect on observed entities.

Meta-Learning