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1
Intro
2
Problem description
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Minecraft
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Project Mountain 8
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Reinforcement Learning
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Trial and Error
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Cliff Walking Formula
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Move Formula
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Cue Table
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Scenarios
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Image Recognition
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Two Images
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Scenario
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Project Malmo
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Project Magnet
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Project Mango
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Homework
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Alpha and Gamma
Description:
Explore reinforcement learning and AI experimentation using Minecraft through Project Malmo in this 51-minute Devoxx conference talk. Dive into the world of deep reinforcement learning, discover how to tackle individual problems, and learn about the innovative use of Minecraft as an AI testing platform. Gain insights into concepts such as trial and error, cliff walking formula, move formula, cue table, image recognition, and various scenarios. Understand the applications of Project Malmo, including Project Mountain 8, Project Magnet, and Project Mango. Conclude with homework assignments and discussions on Alpha and Gamma parameters in reinforcement learning algorithms.

Minecraft and Reinforcement Learning

Devoxx
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