The current paper presents an educational resource to introduce Vocational Education and Training (VET) students to the topic of Reinforcement Learning (RL) through a practical activity. Specifically, they have to program a Q-learning algorithm using Python language to obtain a policy that allows a mobile robot to solve a task autonomously in an industrial-like setup. To this end, a 3D simulation platform called RoboboSim, and the Python libraries of the Robobo educational robot are used. The resource has been developed in the scope of the Erasmus + project called AIM@VET, and it has been tested with a group of 12 VET students from Spain, Portugal, and Slovenia. The obtained results have been successful, and students with no previous background on RL have learned its fundamentals through a purely practical methodology. In addition, some drawbacks have been captured from teachers and students, and the resource has been improved accordingly before it was made available through the project web.


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    Title :

    Teaching Reinforcement Learning Fundamentals in Vocational Education and Training with RoboboSim


    Additional title:

    Lect. Notes in Networks, Syst.


    Contributors:

    Conference:

    Iberian Robotics conference ; 2023 ; Coimbra, Portugal November 22, 2023 - November 24, 2023



    Publication date :

    2024-04-27


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English