Assessing student learning effectively is often complicated by relying on ambiguous proxies such as grades, quiz scores, or assumptions about students' internal states, such as what they feel, think, ...

Multi-Objective Reinforcement Learning (MORL) is an emerging field that extends the conventional reinforcement learning paradigm by enabling agents to optimise multiple conflicting objectives ...

A recently released market research report shows the market for machine learning growing at a rapid 44.1% compounded annual growth rate over the next five years, driven largely by the financial ...