One for All and All for One: Distributed Learning of Fair Allocations with Multi-Player Bandits

Ilai Bistritz*, Tavor Z. Baharav, Amir Leshem, Nicholas Bambos

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Fingerprint

Dive into the research topics of 'One for All and All for One: Distributed Learning of Fair Allocations with Multi-Player Bandits'. Together they form a unique fingerprint.

Mathematics

Engineering & Materials Science