PyTorch reimplementation of "Deep Hierarchical Planning" RL framework. Features a multi-model architecture with manager-worker policies, world model, and goal autoencoder. Built with Python/PyTorch ...

Boston Mayor Michelle Wu could take a critical step in her bid to win a second term when voters on Tuesday narrow the field to the top two candidates. She is running against Josh Kraft, son of ...

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

The emergence of both task-specific single-modality models and general-purpose multimodal large models presents new opportunities, but also introduces challenges, particularly regarding adversarial ...

Paul Reid, VP of Adversary Research at AttackIQ, is a seasoned veteran of the fast-paced world of cybersecurity. With more than two decades of experience as a technology strategist for leading tech ...

This table of contents is a navigational tool, processed from the headings within the legal text of Federal Register documents. This repetition of headings to form internal navigation links has no ...

This repository contains the code accompanying the paper: "Adversarial Disentanglement by Backpropagation with Physics-Informed Variational Autoencoder". The pre ...

Abstract: A novelty detection task involves identifying whether a data point is an outlier, given a training dataset that primarily captures the distribution of inliers. The novel class is usually ...