At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward. Similar to toddlers learning how to walk who adjust actions based on the ...

Reinforcement-learning algorithms 1,2 are inspired by our understanding of decision making in humans and other animals in which learning is supervised through the use of reward signals in response to ...

A new study co-led by the University of Oxford and Google Cloud has shown how general-purpose AI can accurately classify real ...

A new study co-led by the University of Oxford and Google Cloud has shown how general-purpose AI can accurately classify real ...

It’s easier to program bias out of a machine than out of a mind. Harvard Business Publishing: Copyright ©2025 Harvard Business School Publishing. All rights ...

At a recent conference on Bayes, fiducial and frequentist inference, David Cox presented eight illustrative examples, chosen to highlight potential difficulties for the theory of inference. We discuss ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...