2 papers
cs.LG2025
Competing Bandits in Matching Markets via Super Stability
Soumya Basu
We study bandit learning in matching markets with two-sided reward uncertainty, extending prior research primarily focused on single-sided uncertainty. Leveraging the concept of `s…
cs.LG2025
Competing Bandits in Decentralized Contextual Matching Markets
Satush Parikh, Soumya Basu, Avishek Ghosh +1
Sequential learning in a multi-agent resource constrained matching market has received significant interest in the past few years. We study decentralized learning in two-sided matc…