mccormick.northwestern.edu

IEMS 469: Dynamic Programming

This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...
mccormick.northwestern.edu

IEMS 408: Decision Making in Dynamic Learning Environments

Sequential decision-making under uncertainty is a foundational topic in multiple fields - including economics, operations research, and computer science, built around the foundation of Markov decision ...
VentureBeat

Stanford AI researchers introduce LILAC, reinforcement learning for dynamic environments

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Researchers from Stanford AI Lab (SAIL) ...
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Reinforcement Learning

This course is available on the MPA in Data Science for Public Policy, MSc in Applied Social Data Science, MSc in Data Science, MSc in Geographic Data Science, MSc in Health Data Science, MSc in ...