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This talk is about how to implement reinforcement learning for JavaScript. You will explore some light reinforcement learning theory (beginners friendly) as well as a discussion of how we can use C++ (with Emscripten) to boost performance in the face of an expensive algorithm.
A sample implementation can be found here. Nathan will share the reasons for moving the project from JS to C++ with code samples for all relevant concepts presented in JS.
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Nathan Epstein
Nathan is a Quant, Software Engineer, and Data Scientist living in New York City. He sporadically participates in Open Source Software Development (primarily Machine Learning and Data Visualization Tools). He studied Applied Math and Code at Columbia University and Recurse Center.