no code implementations • 13 Sep 2023 • Devang Mehta, Noah Klarmann
In general, automation based on computer vision is a promising solution to prevent bottlenecks at the product quality checkpoint.
no code implementations • 15 Jun 2023 • Mohammadhossein Malmir, Josip Josifovski, Noah Klarmann, Alois Knoll
We introduce a disturbance-augmented Markov decision process in delayed settings as a novel representation to incorporate disturbance estimation in training on-policy reinforcement learning algorithms.
no code implementations • 27 Feb 2023 • Deepak Vivekanandan, Samuel Wirth, Patrick Karlbauer, Noah Klarmann
In this work, we provide an novel approach to solve the JSSP examining the objectives generalization and solution effectiveness using DRL.
no code implementations • 13 Jun 2022 • Josip Josifovski, Mohammadhossein Malmir, Noah Klarmann, Bare Luka Žagar, Nicolás Navarro-Guerrero, Alois Knoll
Fully randomized simulations and fine-tuning show differentiated results and translate better to the real robot than the other approaches tested.
no code implementations • 18 Mar 2021 • Noah Klarmann
This work provides a starting point for researchers interested in gaining a deeper understanding of the big picture of artificial intelligence (AI).