Jehanzeb Mirza, Leonid Karlinsky, et al.
NeurIPS 2023
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.
Jehanzeb Mirza, Leonid Karlinsky, et al.
NeurIPS 2023
Ismail Akhalwaya, Shashanka Ubaru, et al.
ICLR 2024
Arnon Amir, Michael Lindenbaum
IEEE Transactions on Pattern Analysis and Machine Intelligence
Liya Fan, Fa Zhang, et al.
JPDC