Reinforcement learning policy recommendation for interbank network stability
Year of publication: |
2023
|
---|---|
Authors: | Brini, Alessio ; Tedeschi, Gabriele ; Tantari, Daniele |
Published in: |
Journal of financial stability. - Amsterdam [u.a.] : Elsevier, ISSN 1572-3089, ZDB-ID 2222049-5. - Vol. 67.2023, p. 1-21
|
Subject: | Financial networks | Machine Learning | Network stability | Policy recommendation | Reinforcement learning | Unternehmensnetzwerk | Business network | Lernprozess | Learning process | Künstliche Intelligenz | Artificial intelligence | Lernen | Learning | Theorie | Theory | Netzwerk | Network |
-
Hub-and-spoke network design under congestion : a learning based metaheuristic
Karimi-Mamaghan, Maryam, (2020)
-
Scalable reinforcement learning for multiagent networked systems
Qu, Guannan, (2022)
-
Marcondes Pinto, Jeronymo, (2023)
- More ...
-
Insights in Economical Complexity in Spain: the hidden boost of migrants in international tradings
Agliari, Elena, (2015)
-
Mean field bipartite spin models treated with mechanical techniques
Barra, Adriano, (2014)
-
Unveiling the relation between herding and liquidity with trader lead-lag networks
Campajola, Carlo, (2020)
- More ...