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 ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

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