Abstract
In the paper “Online Matching with Stochastic Rewards: Optimal Competitive Ratio via Path-Based Formulation,” the authors develop a novel algorithm analysis approach to address stochastic elements in online matching. The approach leads to several new results that were previously out of reach for a fundamental generalization of online matching. More generally, the approach is useful for analyzing the performance of online algorithms for matching in settings with stochastic uncertainty that manifests after matching decisions are made.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
