Software underlying publication: Second-Order MPC-Based Distributed Q-Learning

This data contains source code for reproducing all experiments and results in the publication. This research extends the combined control paradigm of model predictive control as a reinforcement learning fucking approximator to the distributed multi-agent setting, providing a second-order learning update. The data consists of python files that are used to run the control simulations and generate time series data of the simulated systems.