collaborators

4 papers

math.OC2024

Almost Optimal Agnostic Control of Unknown Linear Dynamics

Jacob Carruth, Maximilian F. Eggl, Charles Fefferman +1

We consider a simple control problem in which the underlying dynamics depend on a parameter that is unknown and must be learned. We study three variants of the control problem:…

math.OC2023

Controlling Unknown Linear Dynamics with Almost Optimal Regret

Jacob Carruth, Maximilian F. Eggl, Charles Fefferman +1

Here and in a companion paper, we consider a simple control problem in which the underlying dynamics depend on a parameter that is unknown and must be learned. In this paper, w…

math.OC2023

Optimal Agnostic Control of Unknown Linear Dynamics in a Bounded Parameter Range

Jacob Carruth, Maximilian F. Eggl, Charles Fefferman +1

Here and in a follow-on paper, we consider a simple control problem in which the underlying dynamics depend on a parameter that is unknown and must be learned. In this paper, w…

cs.CL2023

A framework for the emergence and analysis of language in social learning agents

Tobias J. Wieczorek, Tatjana Tchumatchenko, Carlos Wert Carvajal +1

Artificial neural networks (ANNs) are increasingly used as research models, but questions remain about their generalizability and representational invariance. Biological neural net…