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Reinforcement Learning Workflow with EnergyPlus

I am currently working on a machine learning prohect and was wondering if there is a way to use reinforcement learning in combination with EnergyPlus. I would like to use EnergyPlus as an environment for training my model. The neural network is going to be written in Python using Tensorflow. I want the network to control temperature, humidity, etc. by changing inputs in the idf. Does anyone have experiences with taks like this? How do I link EnergyPlus to Python? Did some research and I currently don't know which interface fits the best. Is this possible with the Functional Mockup Unit (FMU)?

Any help is appreciated.

Reinforcement Learning Workflow with EnergyPlus

I am currently working on a machine learning prohect and was wondering if there is a way to use reinforcement learning in combination with EnergyPlus. I would like to use EnergyPlus as an environment for training my model. The neural network is going to be written in Python using Tensorflow. I want the network to control temperature, humidity, etc. by changing inputs in the idf. Does anyone have experiences with taks like this? How do I link EnergyPlus to Python? Did some research and I currently don't know which interface fits the best. Is this possible with the Functional Mockup Unit (FMU)?(FMU) or this?

Any help is appreciated. appreciated.