Adrian Barbu

Playing Atari Ball Games with Hierarchical Reinforcement Learning

2019 · arXiv (Cornell University)

Human beings are particularly good at reasoning and inference from just a few examples. When facing new tasks, humans will leverage knowledge and skills learned before, and quickly integrate them with the new task. In …

Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural\n Networks

2020 · arXiv (Cornell University)

Artificial Neural Networks form the basis of very powerful learning methods.\nIt has been observed that a naive application of fully connected neural\nnetworks to data with many irrelevant variables often leads to overfitting. In\nan attempt to …

Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers

2023 · arXiv (Cornell University)

Clustering is a widely used technique with a long and rich history in a variety of areas. However, most existing algorithms do not scale well to large datasets, or are missing theoretical guarantees of convergence. …