Resetting S-Function environment for different reinforement learning model
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I am trying to design a reinforcement learning controller for my model which is defined by a Simulink S-Function block. My model runs for a small time interval [0 tf] for one computation of the reward function. How can I reset the S-Function block so it runs again from the same initial state as often as possible for training the RL controller? Thanks for your help.
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Anurag Ojha
el 24 de En. de 2024
Hello Mlaudu,
You can use the “InitializeConditions” method. The "InitializeConditions" method is used to reset values that need reinitialization each time an enabled subsystem, containing the S-function, is executed.
You can refer to following MATLAB Documentation links to get better understanding
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Musa
el 27 de En. de 2024
Thank you very much. We've since worked out a work-around for the problem.
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