Neuro-Symbolic AI: Bridging the Gap Between Traditional and Modern AI Approaches
Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks SpringerLink However, contemporary DRL systems inherit a number of shortcomings from the current generation of deep learning techniques. For example, they require very large datasets to work effectively, entailing that they are slow to learn even when such datasets are available. Moreover, […]
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