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 ...

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 ...

Despite this, it’s better than risking a bad turnover. A prime example of this dates back to the Week 2 loss to Baltimore. Flacco felt Baltimore’s Roquan Smith chasing him down, and instead of ...

These Florida laws go into effect next week. Here’s what to know. Scientists Discovered A New Alzheimer's Warning Sign—And It Has To Do With How You Sleep Major Bay Area sideshow crackdown: 22 cars ...

Robotic racket sports provide exceptional benchmarks for evaluating dynamic motion control capabilities in robots. Due to the highly non-linear dynamics of the shuttlecock, the stringent demands on ...

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: Sparse optoacoustic sensing (SOS) enhances tomographic imaging by enabling high frame rates and reducing system complexity through partial data acquisition. However, its performance depends ...