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Introduction to Reinforcement Learning for Robotics - NOT VALID SUMMER 2020

Summer School of Robot Systems Engineering, 5 ECTS

Institution University of Southern Denmark (SDU)
Campus Odense
Duration 2 weeks


While robot programming can a be complex and time consuming, Machine Learning has the potential to simplify this (and many other) task. In particular, Reinforcement Learning is a powerful approach that enables robots and computers to solve complex decision and control problems using simple reinforcement signals, from playing the game of Go, to teach robots how to grasp objects based on vision.

This course is given by members of the Embodied Systems for Robotics and Learning Unit. You will work together with an team of experienced robotics teachers and researchers to learn how to apply the fundamental techniques of Reinforcement Learning to several robotic problems. The course will cover the most important applications of Reinforcement Learning to robotics, from action planning to movement

Using a wide range of simulation tools and state-of-the-art techniques, you will get hands-on experience on how to solve robotic problems using Reinforcement Learning. The course will cover the underpinning theoretical concepts of reinforcement learning, its potential and limitations. You will have the opportunity to apply these concepts in practical robotic case studies.

Skills Needed

Students should have working knowledge of a programming laguage (C++, Matlab or python).


Exchange students from a partner university pay no tuition. Guest students pay tuition fees. Tuition vary according to course and your nationality. Read more on official website.

Teaching Method

Lectures and Computer simulation exercises

For Further Information

Information from the Danish Agency for Higher Education can be located at

You will find information about the Danish assessment of foreign qualifications in Guide to diploma recognition

About the Educational System in general visit the section The Danish Higher Education System

Application date
Jun 01
Start date
Aug 05



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