Robots that Reason

Aaron Krumins
Towards Data Science
5 min readDec 16, 2018

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Inorganic knowledge traditions with model-based reinforcement learning

This essay explores the concept of inorganic knowledge traditions capable of sequential improvement using model based reinforcement learning

Many behavioral economists presently believe that there are two primary methods used by humans for strategic decision making. One is fast, intuitive and unconscious — what has been called System…

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Aaron Krumins is the author of “Outsmarted — The Promise and Peril of Reinforcement Learning” and currently works as a freelance machine learning consultant