Resetting S-Function environment for different reinforement learning model

2 次查看（过去 30 天）
mlaudu
mlaudu 2022-2-10
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.

请先登录，再回答此问题。

回答（1 个）

Anurag Ojha
Anurag Ojha 2024-1-24
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

类别

在 Help Center 和 File Exchange 中查找有关 Simulink Functions 的更多信息

标签

产品


版本

R2020b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by