28 citations · 49 across the 5 of their papers we have counts for
3 papers · 1 filter
Fine-tuning Myoelectric Control through Reinforcement Learning in a Game Environment
Kilian Freitag, Yiannis Karayiannidis, Jan Zbinden +1
Objective: Enhancing the reliability of myoelectric controllers that decode motor intent is a pressing challenge in the field of bionic prosthetics. State-of-the-art research has m…
Curriculum Reinforcement Learning for Complex Reward Functions
Kilian Freitag, Kristian Ceder, Rita Laezza +2
Reinforcement learning (RL) has emerged as a powerful tool for tackling control problems, but its practical application is often hindered by the complexity arising from intricate r…
Offline Goal-Conditioned Reinforcement Learning for Shape Control of Deformable Linear Objects
Rita Laezza, Mohammadreza Shetab-Bushehri, Gabriel Arslan Waltersson +3
Deformable objects present several challenges to the field of robotic manipulation. One of the tasks that best encapsulates the difficulties arising due to non-rigid behavior is sh…