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Found 2 papers, 1 papers with code
Novelty Search for Deep Reinforcement Learning Policy Network Weights by Action Sequence Edit Metric Distance
In this paper, we introduce and evaluate the use of novelty search over agent action sequences by string edit metric distance as a means for promoting innovation.
On the Generalizability of Linear and Non-Linear Region of Interest-Based Multivariate Regression Models for fMRI Data
In contrast to conventional, univariate analysis, various types of multivariate analysis have been applied to functional magnetic resonance imaging (fMRI) data.
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