91 citations · 213 across the 16 of their papers we have counts for
3 papers · 1 filter
Real-Time Counterfactual Explanations For Robotic Systems With Multiple Continuous Outputs
Vilde B. Gjærum, Inga Strümke, Anastasios M. Lekkas +1
Although many machine learning methods, especially from the field of deep learning, have been instrumental in addressing challenges within robotic applications, we cannot take full…
Approximating a deep reinforcement learning docking agent using linear model trees
Vilde B. Gjærum, Ella-Lovise H. Rørvik, Anastasios M. Lekkas
Deep reinforcement learning has led to numerous notable results in robotics. However, deep neural networks (DNNs) are unintuitive, which makes it difficult to understand their pred…
Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization
Vilde B. Gjærum, Inga Strümke, Ole Andreas Alsos +1
Deep neural networks (DNNs) can be useful within the marine robotics field, but their utility value is restricted by their black-box nature. Explainable artificial intelligence met…