Solving Deterministic Policy (PO)MDPs using
Probabilistic numerics for deep learning
Exact Bayesian Pairwise Preference Learning and Inference on the Uniform Convex Polytope
MCMC Inference Inside the DB for Extraction, Resolution, Alignment, Provenance and Queries
Monte Carlo Simulation for Statistical Inference, Model Selection and Decision Making
Thermodynamics as a theory of bounded rational decision-making
Bayesian Optimization in a Billion Dimensions via Random Embeddings
economia comportamentake
Principles of Very Large Scale Modeling
Generalizations of the Theory of Linearly Solvable MDPs