Learning concepts with energy functions

OpenAI Blog · 7 years ago

Researchers created an energy-based model that learns spatial concepts like "near" and "between" from minimal examples. The model achieved concept learning with only five demonstrations per concept and successfully transferred learned concepts from 2D particle simulations to 3D robot control tasks. This approach enables quick adaptation of conceptual understanding across different environments without retraining from scratch.