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?
I have a question about reinforcement learning example
FlexSim 23.0.0
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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.
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