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dmpcrl_so

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

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Description

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.

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Programming languages
  • Python 48%
  • Other 46%
  • Markdown 4%
  • JSON 1%
License
  • CC-BY-4.0
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