3 papers
cs.AI2019
Pluggable Social Artificial Intelligence for Enabling Human-Agent Teaming
J. van Diggelen, J. S. Barnhoorn, M. M. M. Peeters +5
As intelligent systems are increasingly capable of performing their tasks without the need for continuous human input, direction, or supervision, new human-machine interaction conc…
cs.LG2018
Contrastive Explanations for Reinforcement Learning in terms of Expected Consequences
Jasper van der Waa, Jurriaan van Diggelen, Karel van den Bosch +1
Machine Learning models become increasingly proficient in complex tasks. However, even for experts in the field, it can be difficult to understand what the model learned. This hamp…
stat.ML2018
Contrastive Explanations with Local Foil Trees
Jasper van der Waa, Marcel Robeer, Jurriaan van Diggelen +2
Recent advances in interpretable Machine Learning (iML) and eXplainable AI (XAI) construct explanations based on the importance of features in classification tasks. However, in a h…