= Gabriele Farina
{c}
<Gabriele Farina> is a <computer scientist> who studies <machine learning>, <optimization> and <game theory>, especially decision-making with incomplete information. His research connects individual learning rules with the collective behaviour of interacting decision-makers.<Research profile by Gabriele Farina>[About me; No-Regret Learning Dynamics]{ref}
One focus is <no-regret learning>: can repeated local adaptation lead to a useful game-theoretic equilibrium? The computational question matters because a multi-agent system must find strategies through available observations and calculations. His doctoral work studied learning and equilibrium computation in imperfect-information games.<Research profile by Gabriele Farina>[Research introduction and dissertation description]{ref}
Homepage: https://www.eecs.mit.edu/people/gabriele-farina/
\Image[https://www.eecs.mit.edu/wp-content/uploads/2023/09/Farina_Gabriele_headshot-e1778185490250-230x230.jpeg]
{title=Portrait of <Gabriele Farina>}
{description=Portrait identified on the https://www.eecs.mit.edu/people/gabriele-farina/[MIT EECS profile].}
{width=240}
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