Comparing the test-retest reliability of behavioral, computational and self-reported individual measures of reward and punishment sensitivity in relation to mental health symptoms S Vrizzi, A Najar, C Lemogne, S Palminteri, M Lebreton PsyArXiv, 2023 | 10 | 2023 |
Stock price formation: Precepts from a multi-agent reinforcement learning model J Lussange, S Vrizzi, S Bourgeois-Gironde, S Palminteri, B Gutkin Computational Economics 61 (4), 1523-1544, 2023 | 9 | 2023 |
Mesoscale effects of trader learning behaviors in financial markets: A multi-agent reinforcement learning study J Lussange, S Vrizzi, S Palminteri, B Gutkin PLOS ONE 19 (4), e0301141, 2024 | 6 | 2024 |
Modelling crypto markets by multi-agent reinforcement learning J Lussange, S Vrizzi, S Palminteri, B Gutkin arXiv preprint arXiv:2402.10803, 2024 | | 2024 |
RETHINK S Vrizzi, J Geraghty, M Saarinen, B Noun, O de Vesci, P Levy, P Malliet | | |
Carbon Pricing: The Key to Open the Way Toward a Sustainable Recovery and Long-Term Wellbeing S Vrizzi, J Geraghty, M Saarinen, B Noun, O de Vesci, P Levy, P Malliet | | |
REDEFINAMOS LA ECONOMIA S Vrizzi, J Geraghty, M Saarinen, B Noun, O de Vesci, P Levy, P Malliet | | |