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.

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

With real employer partnerships, Riipen brings work-based learning beyond the limits of traditional internships.

Well-designed projects help students build valuable skills such as collaboration, critical thinking, and communication.

Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new ...

Policymakers must work alongside educators and industry leaders to develop high-quality, equitable work-based learning models that bring these opportunities to more students. These are all examples of ...