Advanced AI & Open Science

Course "Advanced AI & Open Science" at Technische Universität Berlin, Germany July 20 - August 14, 2020 (Registration Deadline June 20, 2020), costs: EUR 1,950

Deep reinforcement learning is a cutting-edge method in AI. It is a combination of deep learning and reinforcement learning. This has led to AlphaGo beating a world champion and has led to AI being able to play Atari games at a superhuman level. Deep reinforcement learning has also been applied to self-driving cars. In this course, the students will learn the basic theory in reinforcement learning and implement algorithms of many deep reinforcement learning models in Tensorflow and OpenAI gym environment. We use the Python programming language for the entire course. While using various open source libraries for computing and data visualisation, we will also introduce the students the best practices in open science and how to contribute to open source projects. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the tutorials and will team up to practice the newly learned skills in a real programming project — an entertaining computer game.