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

A comprehensive model of work-based learning is illustrated combining explicit and tacit forms of knowing and theory and practice modes of learning at both individual and collective levels. The model ...

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 ...

In a new paper, IBM researchers outline a method for better understanding why machine learning models reach their decisions.