Reinforcement Learning and Minecraft - ML Con Spring 2018

This course teaches learners how to apply (Deep) Reinforcement Learning techniques to solve problems using the Malmo project and Minecraft as an experimental AI platform. The course covers topics such as supervised and unsupervised learning, trial and error, falling to lava, matrix formula, deep reinforcement learning, subtracting images, classification, and includes a demo. The intended audience for this course is individuals interested in exploring the intersection of AI, Reinforcement Learning, and Minecraft. The teaching method involves a presentation by Lars Gregori focusing on practical examples and demonstrations.