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[P] Article: Curiosity through random network distillation with Montezuma’s revenge [Deep Reinforcement learning course]

Hello everyone,

We’ve just published the new article of Deep reinforcement Learning course where we study Open AI’s Paper “Exploration by Random Network Distillation

THE ARTICLE: https://medium.com/data-from-the-trenches/curiosity-driven-learning-through-random-network-distillation-488ffd8e5938

The bonus is that we give you a trained model on Montezuma’s Revenge during 21hours with 128 parallel environments in a Tesla K80.

Let me know what you think about this article.

PS: For people who follow me and follow Deep Reinforcement Learning Course I know that I’m totally late on this article (it was supposed to be published some months ago…) to be totally transparent with you, the publication rate is slow because since March I’m a RL research scientist at Dataiku so I have a lot of things to do. But stay tuned I’m currently working very hard on updating everything (especially the PR on github) and things will be announced in the 2 next weeks (and yes it will stay totally free and open source 🎉).

Cheers!

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.