1 citations · 2 across the 2 of their papers we have counts for
3 papers
The economic alignment problem of artificial intelligence
Daniel W. O'Neill, Stefano Vrizzi, Noemi Luna Carmeno +2
Artificial intelligence (AI) is advancing exponentially and is likely to have profound impacts on human wellbeing, social equity, and environmental sustainability. Here we argue th…
Modelling the Doughnut of social and planetary boundaries with frugal machine learning
Stefano Vrizzi, Daniel W. O'Neill
The 'Doughnut' of social and planetary boundaries has emerged as a popular framework for assessing environmental and social sustainability. Here, we provide a proof-of-concept anal…
Modelling crypto markets by multi-agent reinforcement learning
Johann Lussange, Stefano Vrizzi, Stefano Palminteri +1
Building on a previous foundation work (Lussange et al. 2020), this study introduces a multi-agent reinforcement learning (MARL) model simulating crypto markets, which is calibrate…