I am trying to optimize an agent in a simulation. For now, I do not want the agent to take the current state into consideration. Instead, it should just react to the environment. My idea is to model the agent as a . The simulation results in a score, which I want to maximize.

As far as I understand, I could try to use deep reinforcement learning. However, I have the impression, that it might be faster to treat the simulation as a function which I want to optimize. Therefore, I need an algorithm which does not require a gradient to optimize the of my neuronal network. If I am not mistaken, deep neuro evolution might be an option. Unfortunately, I haven’t been able to find a simple to use yet.

Does anybody know of a library which could help me to solve this problem? Right now, it’s most important that it is simple to use and does not require a lot of knowledge.

I am using Python, Keras ans Tensorflow.

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