Imagine a simple saliva test that makes concussion screening faster and more objective than ever before. Thanks to ...

The recent federal transition that shifted day-to-day administration of career-oriented pathways and career and technical ...

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

Abstract: Operating multi-energy microgrids (MEMGs) under uncertain generation and load conditions requires adaptive strategies to balance competing objectives. Traditional multi-objective ...

The U.S. Departments of Education and Labor are launching a new partnership to align postsecondary education with workforce ...

Data science has moved from a niche technical discipline to a core function across industries. Organizations now rely on data-driven decision-making in areas ranging from finance and healthcare to ...

The effectiveness of mentoring schemes is contingent upon a combination of structural, cultural and organizational factors.

Though only 8 years old, the Kingsfield Elementary second grader aspires to one day be a singer-songwriter. These days you ...

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 ...

The mission of the University of Oklahoma is to provide the best possible educational experience for our students through excellence in teaching, research and creative activity, and service to the ...