238 citations · 535 across the 27 of their papers we have counts for
3 papers · 1 filter
No-Regret Learning from Partially Observed Data in Repeated Auctions
Orcun Karaca, Pier Giuseppe Sessa, Anna Leidi +1
We study a general class of repeated auctions, such as the ones found in electricity markets, as multi-agent games between the bidders. In such a repeated setting, bidders can adap…
No-Regret Learning in Unknown Games with Correlated Payoffs
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour +1
We consider the problem of learning to play a repeated multi-agent game with an unknown reward function. Single player online learning algorithms attain strong regret bounds when p…
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature
Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
Games with continuous strategy sets arise in several machine learning problems (e.g. adversarial learning). For such games, simple no-regret learning algorithms exist in several ca…