1 citations · 1 across the 1 of their papers we have counts for
3 papers
Bandit learning in concave -person games
Mario Bravo, David S. Leslie, Panayotis Mertikopoulos
This paper examines the long-run behavior of learning with bandit feedback in non-cooperative concave games. The bandit framework accounts for extremely low-information environment…
Learning with minimal information in continuous games
Sebastian Bervoets, Mario Bravo, Mathieu Faure
We introduce a stochastic learning process called the dampened gradient approximation process. While learning models have almost exclusively focused on finite games, in this paper…
Rates of convergence for inexact Krasnosel'skii-Mann iterations in Banach spaces
Mario Bravo, Roberto Cominetti, Matías Pavez-Signé
We study the convergence of an inexact version of the classical Krasnosel'skii-Mann iteration for computing fixed points of nonexpansive maps. Our main result establishes a new met…