arXiv (All)
open access
Ranking Quantilized Mean-Field Games with an Application to Early-Stage Venture Investments
Quantilized mean-field game models involve quantiles of the population's distribution. We study a class of such games with a capacity for ranking games, where the performance of each agent is evaluated based on its terminal state relative to the population's $α$-quantile value, $α\in (0,1)$. This ev
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Decoding a mean field game by the Cauchy data around its unknown stationary states#997916
- The optimal multi-stage contest#499967
- Cursed Rationalizability#1064995
- Matroid Packing Games: The Core and the Nucleolus#1141321
- Evolutionary Analysis of Continuous-time Finite-state Mean Field Games with Discounted Payoffs#1156229
Record · ID 1034659
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive