This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...
Abstract: Reinforcement Learning is a branch of machine learning to learn control strategies that achieve a given objective through trial-and-error in the environment ...
Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This ...
Abstract: Uncertainty modeling has become increasingly important in power system decision-making. The widely-used tractable uncertainty modeling method—chance constraints with Conditional Value at ...
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