Research

As AI models became too complex for humans to comprehend, it is essential that users remain having trust in these models. Therefore, Explainable AI (XAI) is an important research field. My study compares two general approaches -Black-Box & White-Box methods- for explaining how Deep Convolutional Neural Networks form decisions. The specific methods used were LIME & GradCAM.

I am building an interface between the highly realistic MARL Simulator ARGoS and the MARL framework PettingZoo. This will allow for more realistic simulations of multi-agent systems in swarm robotics.