3 citations · 3 across the 2 of their papers we have counts for
4 papers
Nested replicator dynamics, nested logit choice, and similarity-based learning
Panayotis Mertikopoulos, William H. Sandholm
We consider a model of learning and evolution in games whose action sets are endowed with a partition-based similarity structure intended to capture exogenous similarities between…
Riemannian game dynamics
Panayotis Mertikopoulos, WIlliam H. Sandholm
We study a class of evolutionary game dynamics defined by balancing a gain determined by the game's payoffs against a cost of motion that captures the difficulty with which the pop…
Sample Path Large Deviations for Stochastic Evolutionary Game Dynamics
William H. Sandholm, Mathias Staudigl
We study a model of stochastic evolutionary game dynamics in which the probabilities that agents choose suboptimal actions are dependent on payoff consequences. We prove a sample p…
Learning in games via reinforcement and regularization
Panayotis Mertikopoulos, William H. Sandholm
We investigate a class of reinforcement learning dynamics where players adjust their strategies based on their actions' cumulative payoffs over time - specifically, by playing mixe…