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Overview
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This course focuses on using Minecraft as an experimental AI platform for reinforcement learning. By the end of the course, learners will understand how to apply (deep) reinforcement learning to solve problems using Minecraft and Project Malmo. The course covers topics such as reinforcement learning, trial and error, image recognition, and specific scenarios within Minecraft. The teaching method involves a combination of theoretical explanations and practical examples using Project Malmo. This course is intended for individuals interested in AI, reinforcement learning, and experimenting with AI algorithms in a gaming environment.
Syllabus
Intro
Problem description
Minecraft
Project Mountain 8
Reinforcement Learning
Trial and Error
Cliff Walking Formula
Move Formula
Cue Table
Scenarios
Image Recognition
Two Images
Scenario
Project Malmo
Project Magnet
Project Mango
Homework
Alpha and Gamma
Taught by
Devoxx