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Found 4 papers, 3 papers with code
Visual Imitation with a Minimal Adversary
The proposed agent can solve a challenging robot manipulation task of block stacking from only video demonstrations and sparse reward, in which the non-imitating agents fail to learn completely.
Learning to learn by gradient descent by gradient descent
The move from hand-designed features to learned features in machine learning has been wildly successful.
MultiDendrograms: Variable-Group Agglomerative Hierarchical Clusterings
MultiDendrograms solves this problem implementing a variable-group algorithm that groups more than two clusters at the same time when ties occur.
Solving non-uniqueness in agglomerative hierarchical clustering using multidendrograms
In agglomerative hierarchical clustering, pair-group methods suffer from a problem of non-uniqueness when two or more distances between different clusters coincide during the amalgamation process.
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