Wu Yi, head of the AReaL project. Photo source: Wu Yi. His work on reinforcement learning and embodied agents is part research, part startup, and all about learning by doing. Whether in academic ...
In this tutorial, we explore Online Process Reward Learning (OPRL) and demonstrate how we can learn dense, step-level reward signals from trajectory preferences to solve sparse-reward reinforcement ...
Why is Christian Science in our name? Our name is about honesty. The Monitor is owned by The First Church of Christ, Scientist, and we’ve always been transparent about that. The church publishes the ...
Dictionary.com has crowned a set of numbers as its 2025 word of the year. It says it reserves that distinction for a word that reflects "social trends and global events that defined that year" and ...
For teachers, the numbers six and seven have suddenly taken on a new—and dreaded—significance this school year. From French class to gym class, students are frequently saying (or shouting) “six-seven” ...
Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...
ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
Abstract: The fault vibration signal of rotating machinery is usually a mixture of impulses, harmonics, and noise. How to effectively extract the repetitive impulse signals is a key issue in machinery ...
Abstract: Sparse optoacoustic sensing (SOS) enhances tomographic imaging by enabling high frame rates and reducing system complexity through partial data acquisition. However, its performance depends ...
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