DOE OSTI · code-107788
OCHRE™ Gymnasium (ochre_gym) [SWR-23-47]
Abstract
OCHRE™ Gymnasium is a Python framework for conducting reinforcement learning research on residential building energy management problems. It is a lightweight wrapper around OCHRE, a Python-based thermal-electric residential building simulator developed in-house at NREL. OCHRE Gymnasium adheres to the standard OpenAI Gym API for a reinforcement learning environment. Detailed Sphinx documentation will be auto-generated and accompany this codebase. This documentation will detail the API, provide examples of how to use the code, etc.
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Emami, Patrick, Zhang, Xiangyu, Graf, Peter, Mannering, Willa, Sinner, Michael (Misha). 2023-06-01. OCHRE™ Gymnasium (ochre_gym) [SWR-23-47]. https://doi.org/10.11578/dc.20240701.1
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