Pros & Cons of Reinforcement Learning - illustrated by the Problem of Controlling Gantry Robots

Authors

Horst Zisgen, Darmstadt University of Applied SciencesFollow

Author ORCID Identifier

0000-0003-4002-2012

Document Type

Conference Paper

Disciplines

Statistics

Publication Details

Statistical and Machine Learning: Methods and Applications (SAML-25) on June 5th and 6th, 2025 at TU Dublin, Ireland.

doi:10.21427/qqn0-wn48

Abstract

In this talk a solution for the dynamic scheduling of flexible flow shop systems using gantry robots for material handling by means of simulation and Reinforcement Learning (RL) is presented. Subsequently the pros and cons of a RL approach are briefly discussed and illustrated at the robot control problem.

DOI

https://doi.org/10.21427/qqn0-wn48

Recommended Citation

Zisgen, Horst, "Pros & Cons of Reinforcement Learning - illustrated by the Problem of Controlling Gantry Robots" (2025). SAML-25 Workshop on Statistical and Machine Learning. 17.
https://arrow.tudublin.ie/saml/17

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.