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1
Intro
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Minecraft
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What is Minecraft
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Creative and building aspects
5
Project Mountain
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Supervised
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Unsupervised
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Agent
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Trial and Error
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Reinforcement Learning
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Falling to Lava
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Matrix
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Formula
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Example
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Deep Reinforcement Learning
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Subtracting Images
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Classification
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Code
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Demo
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Takeaway
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Book
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GitHub
Description:
Explore reinforcement learning and its application in Minecraft through the Malmo project in this 41-minute conference talk from ML Con 2018 Spring. Discover how Lars Gregori from SAP Customer Experience utilizes Microsoft's AI test environment to solve complex problems using (Deep) Reinforcement Learning techniques. Learn about Minecraft's potential as an experimental AI platform, understand the basics of supervised and unsupervised learning, and delve into practical examples such as the "Falling to Lava" scenario. Gain insights into deep reinforcement learning, image subtraction, and classification methods, complete with code demonstrations and valuable takeaways for implementing these concepts in your own projects.

Reinforcement Learning and Minecraft - ML Con Spring 2018

MLCon | Machine Learning Conference
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