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Advanced AI & Open Science, Certificate

  • Application Deadline
  • 1 month
    Duration
University rank #147 (QS) Berlin, Germany
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.
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Overview

Deep reinforcement learning is cutting-edge method in AI. It is a combination of deep learning and reinforcement learning, which has led to AlphaGo beating a world champion, which can play Atari games at a superhuman level, and which has been applied in 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 visualization, 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.

Detailed Programme Facts

  • Programme intensity Full-time
    • Full-time duration 1 months
  • Credits
    5 ECTS
  • Languages
    • English
  • Delivery mode
    On Campus

Programme Structure

In this course, the students will learn how to

●        Apply a variety of advanced reinforcement learning algorithms to any problem

●        Writing, Organizing, documenting, and distributing scientific code in Python

Lecturers

Dr. Vaios Laschos, Dr. Rong Guo and Msc. Youssef Kashef

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.

Technological Requirements

  • Basic programming skills (students should be able to write and run small programs in the language of their choice and know what software library and interface means)
  • Basic knowledge in linear algebra and statistics/probability theory, e.g., gradient, probability distributions
  • Students should bring their own laptops to class

Tuition Fee

  • International

    1950 EUR/full
    Tuition Fee
    Based on the original amount of 1950 EUR for the full programme and a duration of 1 months.
  • National

    1950 EUR/full
    Tuition Fee
    Based on the original amount of 1950 EUR for the full programme and a duration of 1 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

Course fee: covers both tuition and learning materials, excursions/field trips, cultural program, public transportation ticket for Berlin, and library access.

Living costs for Berlin

  • 836 - 1340 EUR/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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