Minecraft and Reinforcement Learning

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.

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