No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent?

Reinforcement learning is well-suited for autonomous decision-making where supervised learning or unsupervised learning techniques alone can’t do the job Reinforcement learning has traditionally ...

Professor Junmo Kim and Ph.D. candidate Minchan Kwon, School of Electrical Engineering >No matter how much data they learn, why do Artificial ...

Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...