Reproducing AnyLogic Engine Errors - PathmindAI/nativerl GitHub Wiki

During policy training, the AnyLogic engine may return an error, causing training to fail. This can occur when extremely rare logical errors exist in your AnyLogic simulation. As a rule of thumb, if there's a bug in your model, the policy will find it and exploit it.

To fix the problem, try to reproduce the error back in AnyLogic.

Step 1

Create a brand new CustomExperiment.

Step 2

Add a for loop to the prefilled CustomExperiment code to test every seed. Make sure you also print the seed after each loop (traceln(seed);).

In most cases, testing seeds 0 - 10,000 is enough to find the error. However, if no errors are uncovered, try testing 100,000 seeds for(int seed = 0; seed < 100000; seed++).

Step 3

Run the CustomExperiment. Once an error appears, check your AnyLogic console to see which seed caused the problem.

Step 4

In your Simulation Experiment, set the seed to the value found in Step 3 and run the simulation.

This should allow you to reproduce the error.