To get a clearer grip on what that something is, we need to understand what happens when we change between fuzzy values and ...
Abstract: The Kriging model has been widely used in regression-based surrogate-assisted evolutionary algorithms (SAEAs) for expensive multiobjective optimization by using one model to approximate one ...
Abstract: Deep Reinforcement Learning (DRL) makes a big improvement for robotic control. However, training stable and efficient bipedal gaits like walking and running still remains challenging.
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