266 citations · 505 across the 37 of their papers we have counts for
4 papers · 1 filter
Hierarchical Expert Networks for Meta-Learning
Heinke Hihn, Daniel A. Braun
The goal of meta-learning is to train a model on a variety of learning tasks, such that it can adapt to new problems within only a few iterations. Here we propose a principled info…
Information-Theoretic Bounded Rationality
Pedro A. Ortega, Daniel A. Braun, Justin Dyer +2
Bounded rationality, that is, decision-making and planning under resource limitations, is widely regarded as an important open problem in artificial intelligence, reinforcement lea…
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function
Pedro A. Ortega, Jordi Grau-Moya, Tim Genewein +2
We propose a novel Bayesian approach to solve stochastic optimization problems that involve finding extrema of noisy, nonlinear functions. Previous work has focused on representing…
Free Energy and the Generalized Optimality Equations for Sequential Decision Making
Pedro A. Ortega, Daniel A. Braun
The free energy functional has recently been proposed as a variational principle for bounded rational decision-making, since it instantiates a natural trade-off between utility gai…