Implementation of model predictive control with learned neural network system dynamics model. The code aims to reproduce the results of the paper Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models.
This was part of the TU Darmstadt class Application of Reinforcement Learning Algorithms taught by Jan Peters.