Author:

Keywords:

Markov decision process, Probabilistic graphical models

Abstract:

Dataset for reproducing the results of the paper "Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation". The attached code and dataset is split in two parts: one for the inference and one for the learning experiments. Each part contains instructions to run the code and reproduce the results, as well as the seeds used when randomised procedures were involved. Some datasets are synthetically generated, in those cases the scripts to generate them are also provided. Moreover, the code to generate the plots and analyse the results are also provided here.