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1
Introduction
2
Minecraft
3
Minecraft demo
4
Project Mountain
5
Example
6
Supervised Learning
7
Reinforcement Learning
8
Trial and Error Learning
9
Cliff Climbing
10
Cliff Walking
11
Blue Block
12
Yellow Block
13
Arcade Learning
14
Conclusion
Description:
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.

AI and Minecraft

Devoxx
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