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Introduction (Move 37)
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Welcome to my new reinforcement learning course titled Move 37! in this 10 week course we'll go over the basics of reinforcement learning up to modern day techniques that involve neural networks called 'deep' reinforcement learning. In this first video, i'll introduce the idea of a Markov Decision Process. This is the basic mathematical framework for framing the reinforcement learning problem. We'll also briefly mention the ideas of a 'policy' and the agent-environment loop. Get hype!
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Code for this video:
Please Subscribe! And like. And comment. That's what keeps me going.
The School of AI:
Want more education? Connect with me here:
Github Syllabus:
More learning resources:
Join us in the Wizards Slack channel:
And please support me on Patreon:
Signup for my newsletter for exciting updates in the field of AI:
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