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.

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

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

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 ...

New educational research on supporting improved learning outcomes from scaffolding team-based modeling projects from the EMBRIO collaboration with the Magana and Pienaar labs! The study investigates ...