I would like some pointers, possible projects that solve conceptually similar goals, code examples or tutorials.
I am trying to achieve a system that is able to start or stop ventilation of a given space based different outside and inside metrics such as humidity, temperature, time, etc. to achieve a decrease of relative humidity.
Actuating the system based on simple physics gave me questionable results, this is because I am not able to model the whole dynamic of the system.
I was thinking if reinforced learning could help me learn a good policy. The system should learn on real life data, actuating real ventilation, with the obvious slowness of such system.
I am quite new with AI, able to comprehend and create a simple OpenAi Gym. I am not even sure if and how something like this is achievable with so limited data flow. I am currently recording and analyze all possible data I can measure, together with some more or less random ventilation sessions. I am sure there are better ways to do this.