Recently, model-based reinforcement learning has been considered a crucial approach to applying reinforcement learning in the physical world, primarily due to its efficient utilization of samples.

Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...

School districts in every state now have the green light to establish competency-based education programs and models in their classrooms—but they have a lot of work to do on the operational side to ...

Higher education must move beyond static campus-based learning and adapt to an artificial intelligence (AI)-native world, ...

Forbes contributors publish independent expert analyses and insights. I cover workforce, science and industrial policy, and labor topics. Edward (EJ) Ishman, an instructor at Central New Mexico ...

When classrooms went online in 2020 during the pandemic, gamified learning opportunities grew as a quick and easy way to evaluate the general learning that was happening from student to student.

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...