Alexander Aurell

Applied Mathematics and Optimization · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Alexander Aurell trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. François Delarue
  2. Yeneng Sun
  3. L. Lov'asz
  4. Konrad Podczeck

Papers from Alexander Aurell's perspective

Ordered by how strongly the researchers Alexander Aurell trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Large population stochastic dynamic games: closed-loop McKean-Vlasov systems and the Nash certainty equivalence principle
  2. Large Networks and Graph Limits (Colloquium Publications)
  3. MEAN FIELD GAMES: A TOY MODEL ON AN ERDOS-RENYI GRAPH
  4. The exact law of large numbers via Fubini extension and characterization of insurable risks
  5. On existence of rich Fubini extensions
  6. Equilibrium Points in N-Person Games.
  7. A reference case for mean field games models
  8. Probabilistic Analysis of Mean-Field Games (SIAM Journal of Control and Optimization)
  9. A probabilistic weak formulation of mean field games and applications
  10. Gradient Flows: In Metric Spaces and in the Space of Probability Measures

Their papers