Lennert De Smet

Towards Zero-Shot Task Transfer with Neurosymbolic World Models

This work presents a novel world model formulation where the reward prediction only depends on a subset of structured, symbolic components of the whole latent state, and demonstrates the strong generalisation properties of this approach over purely neural methods.