2 papers
cs.RO2022
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…
cs.RO2022
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…