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• W3154813496 abstract "We study how to optimally match agents in a dynamic market with heterogeneous match values. A network topology determines the feasible matches in the market. We consider networks that are two-sided when all matches include two agents, or acyclic otherwise. An inherent trade-off arises between generating short- and long-term value.We find that when the network satisfies a general position condition, this trade-off is limited, and a simple periodic clearing policy (nearly) maximizes the total value simultaneously at all times. Central to our results is the general position gap, e, which quantifies the stability or the imbalance in the network. No policy can achieve a regret that is lower than the order of 1/e at all times. This lower bound is achieved by a policy, which periodically resolves a natural LP, provided that the delay between periods is of the order of 1/e. Examples illustrate the necessity of some delay in periodic clearing policies." @default.
• W3154813496 created "2021-04-26" @default.
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• W3154813496 date "2021-01-01" @default.
• W3154813496 modified "2023-10-17" @default.
• W3154813496 title "Dynamic Matching: Characterizing and Achieving Constant Regret" @default.
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• W3154813496 doi "https://doi.org/10.2139/ssrn.3824407" @default.
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