A Bayesian Rule for Adaptive Control based on Causal Interventions - Pedro A. Ortega; Daniel A. Braun 001 (CoRR, 2009)

A conversion between utility and information - Pedro A. Ortega; Daniel A. Braun 001 (CoRR, 2009)

Nash Equilibria in Multi-Agent Motor Interactions. - Daniel A. Braun 001; Pedro A. Ortega; Daniel M. Wolpert (PLoS Comput. Biol., 2009)

Optimal Control Predicts Human Performance on Objects with Internal Degrees of Freedom. - Arne J. Nagengast; Daniel A. Braun 001; Daniel M. Wolpert (PLoS Comput. Biol., 2009)

A Minimum Relative Entropy Principle for Adaptive Control in Linear Quadratic Regulators. - Daniel A. Braun 001; Pedro A. Ortega (ICINCO (3), 2010)

A Minimum Relative Entropy Controller for Undiscounted Markov Decision Processes - Pedro A. Ortega; Daniel A. Braun 001 (CoRR, 2010)

Convergence of Bayesian Control Rule - Pedro A. Ortega; Daniel A. Braun 001 (CoRR, 2010)

An axiomatic formalization of bounded rationality based on a utility-information equivalence - Pedro A. Ortega; Daniel A. Braun 001 (CoRR, 2010)

A Minimum Relative Entropy Principle for Learning and Acting. - Pedro A. Ortega; Daniel A. Braun 001 (J. Artif. Intell. Res., 2010)

Risk-Sensitive Optimal Feedback Control Accounts for Sensorimotor Behavior under Uncertainty. - Arne J. Nagengast; Daniel A. Braun 001; Daniel M. Wolpert (PLoS Comput. Biol., 2010)

Path integral control and bounded rationality. - Daniel A. Braun 001; Pedro A. Ortega; Evangelos A. Theodorou; Stefan Schaal (ADPRL, 2011)

Information, Utility and Bounded Rationality. - Daniel Alexander Braun; Pedro Alejandro Ortega (AGI, 2011)

Reinforcement Learning and the Bayesian Control Rule. - Pedro Alejandro Ortega; Daniel Alexander Braun; Simon J. Godsill (AGI, 2011)

Information, Utility & Bounded Rationality - Pedro A. Ortega; Daniel A. Braun 001 (CoRR, 2011)

Online Adaptation and Over-Trial Learning in Macaque Visuomotor Control. - Daniel A. Braun 001; Ad Aertsen; Rony Paz; Eilon Vaadia; Stefan Rotter; Carsten Mehring (Frontiers Comput. Neurosci., 2011)

Inferring Visuomotor Priors for Sensorimotor Learning. - Edward J. A. Turnham; Daniel A. Braun 001; Daniel M. Wolpert (PLoS Comput. Biol., 2011)

A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function. - Pedro A. Ortega; Jordi Grau-Moya; Tim Genewein; David Balduzzi; Daniel A. Braun 001 (NIPS, 2012)

Free Energy and the Generalized Optimality Equations for Sequential Decision Making - Pedro A. Ortega; Daniel A. Braun 001 (CoRR, 2012)

Risk-Sensitivity in Bayesian Sensorimotor Integration. - Jordi Grau-Moya; Pedro A. Ortega; Daniel A. Braun 001 (PLoS Comput. Biol., 2012)

Abstraction in decision-makers with limited information processing capabilities. - Tim Genewein; Daniel A. Braun 001 (CoRR, 2013)

Bounded Rational Decision-Making in Changing Environments. - Jordi Grau-Moya; Daniel A. Braun 001 (CoRR, 2013)

Curiosity-driven learning with Context Tree Weighting. - Zhen Peng 004; Daniel A. Braun 001 (ICDL-EPIROB, 2014)

Monte Carlo methods for exact & efficient solution of the generalized optimality equations. - Pedro A. Ortega; Daniel A. Braun 001; Naftali Tishby (ICRA, 2014)

Generalized Thompson sampling for sequential decision-making and causal inference. - Pedro A. Ortega; Daniel A. Braun 001 (Complex Adapt. Syst. Model., 2014)

Erratum to: Generalized Thompson sampling for sequential decision-making and causal inference. - Pedro A. Ortega; Daniel A. Braun 001 (Complex Adapt. Syst. Model., 2014)

Information-Theoretic Bounded Rationality and ε-Optimality. - Daniel A. Braun 001; Pedro A. Ortega (Entropy, 2014)

Developing neural networks with neurons competing for survival. - Zhen Peng 004; Daniel A. Braun 001 (ICDL-EPIROB, 2015)

Adaptive information-theoretic bounded rational decision-making with parametric priors. - Jordi Grau-Moya; Daniel A. Braun 001 (CoRR, 2015)

Information-Theoretic Bounded Rationality. - Pedro A. Ortega; Daniel A. Braun 001; Justin Dyer; Kee-Eung Kim; Naftali Tishby (CoRR, 2015)

Bounded Rationality, Abstraction, and Hierarchical Decision-Making: An Information-Theoretic Optimality Principle. - Tim Genewein; Felix Leibfried; Jordi Grau-Moya; Daniel Alexander Braun (Frontiers Robotics AI, 2015)

A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker. - Felix Leibfried; Daniel A. Braun 001 (Neural Comput., 2015)

Structure Learning in Bayesian Sensorimotor Integration. - Tim Genewein; Eduard Hez; Zeynab Razzaghpanah; Daniel A. Braun 001 (PLoS Comput. Biol., 2015)

Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes. - Jordi Grau-Moya; Felix Leibfried; Tim Genewein; Daniel A. Braun 001 (ECML/PKDD (2), 2016)

Bounded Rational Decision-Making in Feedforward Neural Networks. - Felix Leibfried; Daniel A. Braun 001 (UAI, 2016)

Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations. - Tim Genewein; Daniel A. Braun 001 (Biol. Cybern., 2016)

An information-theoretic on-line update principle for perception-action coupling. - Zhen Peng 004; Tim Genewein; Felix Leibfried; Daniel A. Braun 001 (IROS, 2017)

Bounded Rational Decision-Making with Adaptive Neural Network Priors. - Heinke Hihn; Sebastian Gottwald 001; Daniel A. Braun 001 (ANNPR, 2018)

Non-Equilibrium Relations for Bounded Rational Decision-Making in Changing Environments. - Jordi Grau-Moya; Matthias Krüger; Daniel A. Braun 001 (Entropy, 2018)

An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems. - Heinke Hihn; Sebastian Gottwald 001; Daniel A. Braun 001 (CDC, 2019)

Hierarchical Expert Networks for Meta-Learning. - Heinke Hihn; Daniel A. Braun 001 (CoRR, 2019)

Bounded Rational Decision-Making from Elementary Computations That Reduce Uncertainty. - Sebastian Gottwald 001; Daniel A. Braun 001 (Entropy, 2019)

Systems of Bounded Rational Agents with Information-Theoretic Constraints. - Sebastian Gottwald 001; Daniel A. Braun 001 (Neural Comput., 2019)

Specialization in Hierarchical Learning Systems. - Heinke Hihn; Daniel A. Braun 001 (Neural Process. Lett., 2020)

The two kinds of free energy and the Bayesian revolution. - Sebastian Gottwald 001; Daniel A. Braun 001 (PLoS Comput. Biol., 2020)

Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-sided Label Shifts. - Peter Bellmann; Heinke Hihn; Daniel A. Braun 001; Friedhelm Schwenker (ICAART (2), 2021)

Representing Pareto optima in preordered spaces: from Shannon entropy to injective monotones. - Pedro Hack; Daniel A. Braun 001; Sebastian Gottwald 001 (CoRR, 2021)

Mixture-of-Variational-Experts for Continual Learning. - Heinke Hihn; Daniel A. Braun 001 (CoRR, 2021)

Comparison of short-term electrical load forecasting methods for different building types. - Arne Groß; Antonia Lenders; Friedhelm Schwenker; Daniel A. Braun 001; David Fischer (Energy Inform., 2021)

Classification of preordered spaces in terms of monotones - Filling in the gaps. - Pedro Hack; Daniel A. Braun 001; Sebastian Gottwald 001 (CoRR, 2022)

On a geometrical notion of dimension for partially ordered sets. - Pedro Hack; Daniel A. Braun 001; Sebastian Gottwald 001 (CoRR, 2022)

Computation as uncertainty reduction: a simplified order-theoretic framework. - Pedro Hack; Daniel A. Braun 001; Sebastian Gottwald 001 (CoRR, 2022)

On the relation of order theory and computation in terms of denumerability. - Pedro Hack; Daniel A. Braun 001; Sebastian Gottwald 001 (CoRR, 2022)

Bounded rational decision-making models suggest capacity-limited concurrent motor planning in human posterior parietal and frontal cortex. - Sonja Schach; Axel Lindner; Daniel Alexander Braun (PLoS Comput. Biol., 2022)

Jarzyski's Equality and Crooks' Fluctuation Theorem for General Markov Chains with Application to Decision-Making Systems. - Pedro Hack; Sebastian Gottwald 001; Daniel A. Braun 001 (Entropy, 2022)

Hierarchically structured task-agnostic continual learning. - Heinke Hihn; Daniel A. Braun 001 (Mach. Learn., 2023)

Automatic bat call classification using transformer networks. - Frank Fundel; Daniel A. Braun 001; Sebastian Gottwald 001 (Ecol. Informatics, 2023)

On the Structure of Information. - Sebastian Gottwald 001; Daniel A. Braun 001 (CoRR, 2024)

Online continual learning through unsupervised mutual information maximization. - Heinke Hihn; Daniel A. Braun 001 (Neurocomputing, 2024)

Countability constraints in order-theoretic approaches to computability. - Pedro Hack; Daniel A. Braun 001; Sebastian Gottwald 001 (Math. Struct. Comput. Sci., 2024)

Bounded Rational Decision Networks With Belief Propagation. - Gerrit Schmid; Sebastian Gottwald 001; Daniel A. Braun 001 (Neural Comput., 2024)