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Our robot keeps making exactly the same movement regardless of random initialization or manually initializing the weights of our neural network.
All four of us looked at the code but we genuinely do not know what is going wrong.
We already ran our neuroevolution code, but the fitness scores for each parent is exactly the same as well. Indicating there is something wrong in our neural network. Could you have a look at it?
We barely changed anything, just created a controller function and called this function instead of the random_moves.
Even if we directly copy the controller function code provided in the seminar slides, nothing changes.
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Our robot keeps making exactly the same movement regardless of random initialization or manually initializing the weights of our neural network.
All four of us looked at the code but we genuinely do not know what is going wrong.
We already ran our neuroevolution code, but the fitness scores for each parent is exactly the same as well. Indicating there is something wrong in our neural network. Could you have a look at it?
We barely changed anything, just created a controller function and called this function instead of the random_moves.
Even if we directly copy the controller function code provided in the seminar slides, nothing changes.
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