Before you export a simulation from AnyLogic to Pathmind, you will need to confirm that your AnyLogic simulation runs without error. If it doesn't run in AnyLogic, it will not work in Pathmind.
1. Make sure Pathmind Helper is enabled.
Enabled checkbox must be selected in the Pathmind Helper properties for Pathmind to run. (Also, ensure you have the latest version of Pathmind Helper)
2. Make sure you are triggering actions correctly in your model and make sure that your simulation contains an end point.
Running Pathmind in debug mode is an efficient way to double check everything. Run the simulation and toggle the Developer Panel. Check to make sure the data you are feeding to Pathmind is valid.
3. Finally, run a Monte Carlo experiment for 10,000 iterations.
Mechanically, Reinforcement Learning operates similarly to a Monte Carlo experiment. If you are able to run a Monte Carlo experiment in AnyLogic without error for 10,000 iterations, then reinforcement learning training should work fine in Pathmind.
Please be sure to ensure:
There are no AnyLogic runtime errors.
Take note of the total steps in your simulation as mentioned above. This will give you a sense of how much training you will be able to fit into a Pathmind run.
Time how long it takes the Monte Carlo to complete. The longer it takes in AnyLogic, the longer it will take in Pathmind. Keep your simulations as short as possible without degrading the integrity of your model.
If any errors occur, please follow these instructions to resolve the error.
Again, if your simulation does not work in AnyLogic, it will not work in Pathmind, so following these steps will help you successfully upload and train simulation models in Pathmind.