Ca0q9nqnpkud3ac5zieu
SkillsCast

Lightning Talk: Performant Reinforcement Learning In JavaScript

11th July 2018 in London at Business Design Centre

There are 69 other SkillsCasts available from FullStack London 2018 - The Conference on JavaScript, Node & Internet of Things

Please log in to watch this conference skillscast.

713115744 640

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.

YOU MAY ALSO LIKE:

Lightning Talk: Performant Reinforcement Learning In JavaScript

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.

SkillsCast

Please log in to watch this conference skillscast.

713115744 640

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.

YOU MAY ALSO LIKE:

About the Speaker

Lightning Talk: Performant Reinforcement Learning In JavaScript

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.

Photos