ModelicaGym: applying reinforcement learning to Modelica models

@inproceedings{Lukianykhin2019ModelicaGymAR,
  title={ModelicaGym: applying reinforcement learning to Modelica models},
  author={Oleh Lukianykhin and Tetiana Bogodorova},
  booktitle={EOOLT '19},
  year={2019}
}
  • Oleh Lukianykhin, Tetiana Bogodorova
  • Published in EOOLT '19 2019
  • Computer Science
  • This paper presents ModelicaGym toolbox that was developed to employ Reinforcement Learning (RL) for solving optimization and control tasks in Modelica models. The developed tool allows connecting models using Functional Mock-up Interface (FMI) to OpenAI Gym toolkit in order to exploit Modelica equation-based modeling and co-simulation together with RL algorithms as a functionality of the tools correspondingly. Thus, ModelicaGym facilitates fast and convenient development of RL algorithms and… CONTINUE READING

    References

    Publications referenced by this paper.
    A Generic FMU Interface for Modelica
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