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
2024-1-24
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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
1 个评论
Musa
2024-1-27
Thank you very much. We've since worked out a work-around for the problem.
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