Transient value problem of the variable in reward function of reinforcement learning

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Hello, I encounted a problem when designing the reward function. In the simulink environment, I want to incorporate some variables in the reward function. During the training of RL agent, the varibles will converge after about 0.06s, while the agent is trained from 0s. The enable block doesn't help by putting the RL block in a subsystem.
From my understanding, it will influence the value reward function, which may result in poor trained agent. Does anyone have any suggestions regarding this questions?
Thank you very much.

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Emmanouil Tzorakoleftherakis
Emmanouil Tzorakoleftherakis el 22 de Mzo. de 2021
You can put the agent block under a triggered subsystem and set it to begin training after 0.06 seconds
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Emmanouil Tzorakoleftherakis
Emmanouil Tzorakoleftherakis el 23 de Mzo. de 2021
I believe it should be 40 yes - there is a counter implemented internally that keeps track of how many times the RL Agent block will run

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