Abstract: This work evaluates the effectiveness of entropy-regularized Reinforcement Learning (RL) by contrasting Soft Value Iteration with conventional Bellman-based approaches. Based on the Maximum ...

This video shows how to solve algebra problems using geometry, offering a visual approach that makes abstract equations easier to understand. By translating algebra into shapes and spatial ...

eGFR equations significantly overestimate renal function in patients with renal masses when compared with 24-hour CrCl-derived measured GFR, particularly near clinically meaningful thresholds. This ...

Stanford scientists have solved a long-standing challenge in growing brain organoids by using a simple food additive to keep them from sticking together. The breakthrough enables the production of ...

Estimates from the Predicting Risk of Cardiovascular Disease EVENT (PREVENT) equations identified substantially fewer individuals eligible to receive aspirin for the primary prevention of ...

In this Journal feature, information about a real patient is presented in stages (boldface type) to an expert clinician, who responds to the information by sharing relevant background and reasoning ...

The Ray-Ban Meta emphasizes versatility and style, offering a range of designs, including Wayfarer, Highlander, and Skylers, alongside numerous color and lens options. This makes it an excellent ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most difficult tasks in numerical ...

A mathematician has uncovered a way of answering some of algebra's oldest problems. University of New South Wales Honorary Professor Norman Wildberger, has revealed a potentially game-changing ...

A UNSW Sydney mathematician has discovered a new method to tackle algebra's oldest challenge—solving higher polynomial equations. Polynomials are equations involving a variable raised to powers, such ...