How the RL agent knows that it has to provide 'action' as 'FLOW' because none of my input or observations is flow? What decides the output of action?

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Kaustubh Kulkarni
Kaustubh Kulkarni 2020-2-22
评论： kaustubh kulkarni 2020-3-7
https://www.mathworks.com/help/reinforcement-learning/ug/create-simulink-environments-for-reinforcement-learning.html

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回答（1 个）

Vimal Rathod
Vimal Rathod 2020-2-27
Hi,
The details are given properly in the link which you have sent. In the example, input is a scalar variable which indicates the amount of flow (Which is Action) and observation is a 1x3 vector which describes the rise or fall in water level.
You could refer to the following link to know what are the values there in observation and action.
https://www.mathworks.com/help/reinforcement-learning/ug/create-simulink-environments-for-reinforcement-learning.html#WaterTankEnvironmentModelExample-1
To know more about rlNumericSpec which describes a datatype having a range of numeric values refer the following link:
https://www.mathworks.com/help/reinforcement-learning/ref/rl.util.rlnumericspec.html
Hope this helps!

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