Abstract: Multi-objective reinforcement learning (MORL) is a structured approach for optimizing tasks with multiple objectives. However, it often relies on pre-defined reward functions, which can be ...

Learning curves for experienced laparoscopic surgeons transitioning to the robotic platform are still unknown. With the new availability of objective performance indicators (OPIs), which provide ...

Rick: A lot of parents and educators may be familiar with the phrase “mastery learning” but not have a clear idea what it means in practice. What is it exactly? Scott: My journey began in 2012 when I ...

Rick: A lot of parents and educators may be familiar with the phrase “mastery learning” but not have a clear idea what it means in practice. What is it exactly? Scott: My journey began in 2012 when I ...

ABSTRACT: As cloud computing continues to evolve, managing CPU resources effectively has become a critical task for ensuring system performance and efficiency. Traditional CPU resource management ...

After inventing calculus, actuarial tables, and the mechanical calculator and coining the phrase “best of all possible worlds,” Gottfried Leibniz still felt his life’s work was incomplete. Since ...

1 Faculty of Humanities, University of Education, Karlsruhe, Germany 2 Faculty of Computer Science and Business Information Systems, University of Applied Sciences, Karlsruhe, Germany In higher ...

To be useful, the assessments you give students must meet two conditions. First, assessments must be appropriately challenging at the moment when they are given. A question that’s clearly too hard or ...

Most faculty have used a “forward thinking” approach to course design – first, identify or develop materials and activities for teaching, then design assessments to measure the teaching outcomes.

In open-environment machine learning (open ML), the learning objectives can vary according to specific real-world requirements. Models tailored for initial objectives may not be appropriate for the ...