Marina Danilevsky, Shipi Dhanorkar, et al.
KDD 2021
Usage of automated controllers which make decisions on an environment are widespread and are often based on black-box models. We use Knowledge Compilation theory to bring explainability to the controller's decision given the state of the system. For this, we use simulated historical stateaction data as input and build a compact and structured representation which relates states with actions. We implement this method in a Traffic Light Control scenario where the controller selects the light cycle by observing the presence (or absence) of vehicles in different regions of the incoming roads.
Marina Danilevsky, Shipi Dhanorkar, et al.
KDD 2021
Aditi Mishra, Bretho Danzy, et al.
IEEE TVCG
Lingfei Wu, Jian Pei, et al.
AAAI 2023
Erick Oduor, Kun Qian, et al.
IUI 2020