I have a question about reinforcement learning example

[ting_wei_h]

[ FlexSim 23.0.0 ]

I want to know what this official website provides

int done = (Model.time > 1000);

Does this mean that it will calculate the value of Reward every 1000 seconds?

[kavika_faleumu]

Hey @Ryan_Wei, could you please reupload your image? I'm unable to see it. Thank you!

[ting_wei_h]

I'm so sorry

Here is the image：

[moehlmann_fe · Accepted solution]

The reward function passes an array with two elements to the reinforcement learning algorithm. The first value ist the reward itself. The second value controls whether the algorithm continues the current simulation run (0) or concludes the run and starts a new one (1).

(Model.time > 1000) evaluates either to 0 or 1, depending on the current time in the simulation. So the first time the reward is send after the simulation passes 1000s, a new replication will be started.

[Jeanette_Fullmer]

Hi @Ryan_Wei, was Felix Möhlmann's answer helpful? If so, please click the "Accept" button at the bottom of their answer. Or if you still have questions, add a comment and we'll continue the conversation.

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