Dmap: a distributed morphological attention policy for learning to locomote with a changing body

AS Chiappa, A Marin Vargas… - Advances in Neural …, 2022 - proceedings.neurips.cc
Biological and artificial agents need to deal with constant changes in the real world. We
study this problem in four classical continuous control environments, augmented with …

[PDF][PDF] Towards anomaly detection in reinforcement learning

R Müller, S Illium, T Phan, T Haider… - Proceedings of the 21st …, 2022 - ifaamas.org
Identifying datapoints that substantially differ from normality is the task of anomaly detection
(AD). While AD has gained widespread attention in rich data domains such as images …

TLXML: Task-Level Explanation of Meta-Learning via Influence Functions

Y Mitsuka, S Golestan, Z Sufiyan, S Schoepp… - arxiv preprint arxiv …, 2025 - arxiv.org
The scheme of adaptation via meta-learning is seen as an ingredient for solving the problem
of data shortage or distribution shift in real-world applications, but it also brings the new risk …

Repräsentations-und Transferlernen für Anwendungen des maschinellen Lernens

RKG Müller - 2023 - edoc.ub.uni-muenchen.de
Das maschinelle Lernen befasst sich mit dem Lernen von Modellen anhand von Daten. Die
Kombination mit neuronalen Netzen wird gemeinhin als Deep Learning bezeichnet und hat …

Tracking with artificial intelligence for the hand tracking of different species

AL Moreno - 2024 - repositorio.ugto.mx
Accurately scientific disciplines, including biomechanics, genetics, ethology, and neurology,
it is essential to accurately track the behavior of animals throughout studies, particularly …

Seguimiento con inteligencia artificial para el seguimiento de la mano de diferentes especies con dos cámaras

AL Moreno, GH Gómez… - JÓVENES EN LA …, 2024 - jovenesenlaciencia.ugto.mx
El seguimiento preciso de manos, tanto en especies humanas como no humanas, es
fundamental en campos como la biomecánica y neurología. La inteligencia artificial (IA) ha …

[引用][C] Repräsentations-und Transferlernen für Anwendungen des maschinellen Lernens

RKG Müller - Dissertation, München, Ludwig …