6 papers
Optimizing infectious disease mitigation under dynamic conditions
Laura Müller, Fabio Sartori, Jonas Dehning +2
Mitigation measures are essential for controlling the spread of infectious diseases during pandemics and epidemics, but they impose considerable societal, individual, and economic…
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:…
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…
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…
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…
Controlling Unknown Linear Dynamics with Bounded Multiplicative Regret
Jacob Carruth, Maximilian F. Eggl, Charles Fefferman +2
We consider a simple control problem in which the underlying dynamics depend on a parameter that is unknown and must be learned. We exhibit a control strategy which is optimal to w…