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Scott Taylor

2 papers indexed

arxivcs.AI2026-07-24

Learning on the Job: Continual Learning from Deployment Feedback for Frozen-Weights Agents

Valentin Tablan, Scott Taylor, Kristoffer Bernhem

AI agents encounter learning opportunities in every episode they run, and discard nearly all of them: the underlying models are frozen at deployment, so an agent that resolves a difficult request today starts from zero when it recurs tomorrow. Yet ordinary operation already produ…

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crossrefArtificial Intelligence, Machine Learning, & Robotics in Business2026-06-28

Humanity at the Table: How Robotics, Automation, and Artificial Intelligence are Reshaping Restaurant Operations and Global Franchising

Scott Taylor, Dr. Rachel J.C. Fu

The restaurant industry is entering one of the most transformative periods in its history. Driven by advances in artificial intelligence (AI), machine learning (ML), robotics, and automation technologies, restaurants are redefining operational efficiency, customer engagement, foo…

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