266 citations · 505 across the 37 of their papers we have counts for
17 papers · 1 filter
Construction and Elicitation of a Black Box Model in the Game of Bridge
Véronique Ventos, Daniel Braun, Colin Deheeger +7
We address the problem of building a decision model for a specific bidding situation in the game of Bridge. We propose the following multi-step methodology i) Build a set of exampl…
Bounded Rational Decision-Making with Adaptive Neural Network Priors
Heinke Hihn, Sebastian Gottwald, Daniel A. Braun
Bounded rationality investigates utility-optimizing decision-makers with limited information-processing power. In particular, information theoretic bounded rationality models forma…
An information-theoretic on-line update principle for perception-action coupling
Zhen Peng, Tim Genewein, Felix Leibfried +1
Inspired by findings of sensorimotor coupling in humans and animals, there has recently been a growing interest in the interaction between action and perception in robotic systems…
Hierarchical State Abstractions for Decision-Making Problems with Computational Constraints
Daniel T. Larsson, Daniel Braun, Panagiotis Tsiotras
In this semi-tutorial paper, we first review the information-theoretic approach to account for the computational costs incurred during the search for optimal actions in a sequentia…
Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes
Jordi Grau-Moya, Felix Leibfried, Tim Genewein +1
Information-theoretic principles for learning and acting have been proposed to solve particular classes of Markov Decision Problems. Mathematically, such approaches are governed by…
Bounded Rational Decision-Making in Feedforward Neural Networks
Felix Leibfried, Daniel Alexander Braun
Bounded rational decision-makers transform sensory input into motor output under limited computational resources. Mathematically, such decision-makers can be modeled as information…