Variational Inference for Data-Efficient Model Learning in POMDPs

Sebastian Tschiatschek, Kai Arulkumaran, Jan Stühmer +1

Partially observable Markov decision processes (POMDPs) are a powerful abstraction for tasks that require decision making under uncertainty, and capture a wide range of real world…