: Introduction to Reinforcement Learning

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UPDATE: We've partnered with TechKnights to throw a lecture+workshop combo during KnightHacks! To finish Unit 0 for the Fall series, we're following up our lecture last week with a workshop. Here, we'll build a neural network to classify hand-written digits using a popular dataset, MNIST, with some help from Google's Tensorflow library. ***Everything will be provided in a self-contained environment for you but you will need to come prepared with the below requirements before the workshop begins.

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Hey! This will be our second lecture in Unit 1 on Reinforcement Learning! We'll be reviewing what we learned about Markov Decision Processes and then go over Dynamic Programming, a method of solving Markov Decision Problems and the theoretical foundation for most solutions to modern RL problems. Come on out!

Contributing Authors