Forget vague ideals. See how Bloom and Skinner help educators measure learning through observable behaviors, practical ...

Reinforcement Learning is a powerful approach to machine learning that enables agents to learn optimal behaviors through ...

Unlike typical AI systems that thrive on large, fast-evolving datasets, agriculture presents unique constraints. Plant growth ...

Reinforcement learning (RL) has become central to advancing Large Language Models (LLMs), empowering them with improved reasoning capabilities necessary for complex tasks. However, the research ...

Control theory and reinforcement learning share similar objectives, but have differed in their assumptions and approaches. This spring school emphasizes connections across control theory, ...

Abstract: Unmanned aerial vehicles (UAVs) used as aerial base stations show significant promise for future wireless communication systems. This paper explores using a UAV as an autonomous agent, ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In past roles, I’ve spent countless hours trying to understand why state-of-the-art ...