<ul><li>A new approach combining neural networks, random perturbations, and reinforcement learning is being used to optimize models.</li><li>The method involves training a neural network to transform inputs into candidate outputs.</li><li>A reinforcement learning agent selectively perturbs the network's weights to explore new model configurations.</li><li>Simulated annealing and a bandit-based selection mechanism are used to balance exploration and exploitation of perturbation levels.</li></ul>

Got sick of incompetent genetics, so I started damaging neurons…

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