Research Progress on the Localized Application of the Objective Structured Clinical Examination in Higher Vocational Nursing ...

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

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 ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...

Abstract: Multi-objective transmission switching (MO-TS) problems involve the strategic reconfiguration of network topology to simultaneously optimize multiple objectives. As the system scale ...