Nearly every book on reinforcement learning contains a chapter that explains the differences between model-free and model-based reinforcement learning.

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Machine learning is taking the world by storm, helping automate more and more tasks. As digital transformation expands, the volume and coverage of available data grows, and machine learning sets its ...

Children are astonishing language learners. Long before they can read or write, they begin to pick up words, patterns, and ...

Based on our literature review, we identify current gaps in the research, including a lack of solid frameworks to explain learning in open online setting. Finally, we put forward a novel framework ...

This is a preview. Log in through your library . Abstract A comprehensive model of work-based learning is illustrated combining explicit and tacit forms of knowing and theory and practice modes of ...