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2024-04-24 09:00:12

The goal of this project is to create an environment following Gymnasium interface for wrapping simulation engines (EnergyPlus) for building control using deep reinforcement learning or any external control.

To report questions and issues, please use our issue tracker. We appreciate your feedback and contributions. Check out our CONTRIBUTING.md for more details on how to contribute.

Simulation Engine Compatibility: Uses EnergyPlus Python API for Python-EnergyPlus communication. Future plans include more engines like OpenModelica.

Benchmark Environments: Designs environments for benchmarking and testing deep RL algorithms or other external strategies, similar to Atari or Mujoco.

Customizable Environments: Allows easy modification of experimental settings. Users can create their own environments or modify pre-configured ones in Sinergym.