62 citations · 338 across the 22 of their papers we have counts for
4 papers · 1 filter
Edge-reinforced random walk, Vertex-Reinforced Jump Process and the supersymmetric hyperbolic sigma model
Christophe Sabot, Pierre Tarres
Edge-reinforced random walk (ERRW), introduced by Coppersmith and Diaconis in 1986, is a random process, which takes values in the vertex set of a graph , and is more likely to…
Reinforcement learning in signaling game
Yilei Hu, Brian Skyrms, Pierre Tarrès
We consider a signaling game originally introduced by Skyrms, which models how two interacting players learn to signal each other and thus create a common language. The first rigor…
Localization of reinforced random walks
Pierre Tarrès
We describe and analyze how reinforced random walks can eventually localize, i.e. only visit finitely many sites. After introducing vertex and edge self-interacting walks on a disc…
Online Learning as Stochastic Approximation of Regularization Paths
Pierre Tarrès, Yuan Yao
In this paper, an online learning algorithm is proposed as sequential stochastic approximation of a regularization path converging to the regression function in reproducing kernel…