Explore the intersection of artificial intelligence and Minecraft through Project Malmo, Microsoft's platform for AI experimentation. Dive into a 28-minute conference talk by Lars Gregori at Devoxx, where he demonstrates how to tackle specific challenges using reinforcement learning within the Minecraft environment. Learn about supervised learning, trial and error techniques, cliff climbing, and arcade learning as applied to various scenarios in the game. Gain insights from Gregori's expertise as a Technology Strategist at SAP Hybris and his background in IoT, Arduino, Raspberry Pi, and machine learning. Discover how Minecraft serves not as a game to be played, but as a versatile testbed for advancing AI research and development.
Overview
Syllabus
Introduction
Minecraft
Minecraft demo
Project Mountain
Example
Supervised Learning
Reinforcement Learning
Trial and Error Learning
Cliff Climbing
Cliff Walking
Blue Block
Yellow Block
Arcade Learning
Conclusion
Taught by
Devoxx
