Cristina Cornelio, Judy Goldsmith, et al.
JAIR
We consider a problem of decentralized exploration of a faulty network by several simple, memoryless agents. The model we adopt for a network is a directed graph. We design an asynchronous algorithm that can cope with failures of network edges and nodes. The algorithm is self-stabilizing in the sense that it can be started with arbitrary initializations and scalable -new agents can be added while other agents are already running.
Cristina Cornelio, Judy Goldsmith, et al.
JAIR
Hannaneh Hajishirzi, Julia Hockenmaier, et al.
UAI 2011
Jihun Yun, Peng Zheng, et al.
ICML 2019
Shai Fine, Yishay Mansour
Machine Learning