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How do you minimize a function when you can't take derivatives CMA-ES and PSO
One layer CMA-ES policy on LunarLander
Motor primitives control strategy optimized with CMA-ES
CMA-ES ΓÇô a Stochastic Second-Order Method for Function-Value FreeNumerical Optimization
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Last Updated: September 27, 2026
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Summary
What happens when you want to minimize a function, say, the error function in order to train a machine learning model, but the ... We consider black-box optimization with little assumptions on the underlying objective function. Further, we consider sampling ... DQN Baseline from OpenAI gym. DQN hyperparameter optimized using