Eric Schulz

Active function learning as Gaussian Process optimization

2015 · MPG.PuRe (Max Planck Society)

How can and should an agent actively learn a function? Psychological theories about function learning are vast, but currently there is no real theory about how humans actively acquire knowledge about continuous input-output relations. We …

The Acquisition of Physical Knowledge in Generative Neural Networks

2023 · arXiv (Cornell University)

As children grow older, they develop an intuitive understanding of the physical processes around them. Their physical understanding develops in stages, moving along developmental trajectories which have been mapped out extensively in previous empirical research. …

Simplifying Latent Dynamics with Softly State-Invariant World Models

2024 · arXiv (Cornell University)

To solve control problems via model-based reasoning or planning, an agent needs to know how its actions affect the state of the world. The actions an agent has at its disposal often change the state …