Interpretable Dynamics Models for Data-Efficient Reinforcement Learning

Markus Kaiser, Clemens Otte, Thomas Runkler +1

In this paper, we present a Bayesian view on model-based reinforcement learning. We use expert knowledge to impose structure on the transition model and present an efficient learni…