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 the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

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

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

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.

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 ...