Hello everyone,
Happy 2022, I hope everyone is well.
I am currently working on an evolutionary neural network project using IntelliJ, coded in java.
Before battle, I construct neural network controllers that dictate the behavior of the robots. I then evaluate the performance of the controller based on the robots behavior for further analysis.
My challenge is, extracting data from the battles that may aid in determining the fitness of the neural network involved after a round of battle, and after the rounds of battles have been completed.
The manual routine I've been using is running the battle, extracting the results, and then running it again. That is challenging if I have an algorithm that requires 1000 runs with each run having 100 generations, that is, 100000 loops.
I would really appreciate any support given in this regard.
Thanks in advance
Victor