activity
20162024
most citedEvaluation of a RGB-LED-based Emotion Display for Affective Agents

11 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY20243 cited

A Practical Multilevel Governance Framework for Autonomous and Intelligent Systems

Lukas D. Pöhler, Klaus Diepold, Wendell Wallach

Autonomous and intelligent systems (AIS) facilitate a wide range of beneficial applications across a variety of different domains. However, technical characteristics such as unpred…

cs.LG2024

Reinforcement Learning with Ensemble Model Predictive Safety Certification

Sven Gronauer, Tom Haider, Felippe Schmoeller da Roza +1

Reinforcement learning algorithms need exploration to learn. However, unsupervised exploration prevents the deployment of such algorithms on safety-critical tasks and limits real-w…

eess.IV20221 cited

Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis

Stefan Röhrl, Alice Hein, Lucie Huang +7

The quality of datasets plays a crucial role in the successful training and deployment of deep learning models. Especially in the medical field, where system performance may impact…

cs.HC201611 cited

Evaluation of a RGB-LED-based Emotion Display for Affective Agents

Johannes Feldmaier, Tamara Marmat, Johannes Kuhn +1

Technology has become an essential part in every aspect of our lives. However the key to a successful implementation of a technology depends on the acceptance by the general public…

cs.AI2016

Regularized Gradient Temporal-Difference Learning

Dominik Meyer, Hao Shen, Klaus Diepold

In this paper, we study the Temporal Difference (TD) learning with linear value function approximation. It is well known that most TD learning algorithms are unstable with linear f…