Resetting S-Function environment for different reinforement learning model

Question

mlaudu 2022-2-10

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1646715-resetting-s-function-environment-for-different-reinforement-learning-model

评论： Musa 2024-1-27

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.

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Anurag Ojha 2024-1-24

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1646715-resetting-s-function-environment-for-different-reinforement-learning-model#answer_1396086

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