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Reinforcement Learning for Business Use Cases

Reinforcement learning refers to a group of machine learning algorithms that can be applied to business use cases such as optimization. While optimization takes many forms, reinforcement learning has outperformed other optimizers such as mathematical solvers in complex scenarios such as operations scheduling.

McKinsey’s Quantum Black unit wrote an excellent post on how businesses can chart a path to use reinforcement learning.

McKinsey's reinforcement learning business use cases

Chris Nicholson

Chris Nicholson is the CEO of Pathmind. He previously led communications and recruiting at the Sequoia-backed robo-advisor, FutureAdvisor, which was acquired by BlackRock. In a prior life, Chris spent a decade reporting on tech and finance for The New York Times, Businessweek and Bloomberg, among others.


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