Inference of Affordances and Active Motor Control in Simulated Agents

no code implementations • 23 Feb 2022 • Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz

We show that our architecture, which is trained end-to-end to minimize an approximation of free energy, develops latent states that can be interpreted as affordance maps.

Zero-shot Generalization