114 citations · 664 across the 92 of their papers we have counts for
4 papers · 2 filters
On the robustness of learning in games with stochastically perturbed payoff observations
Mario Bravo, Panayotis Mertikopoulos
Motivated by the scarcity of accurate payoff feedback in practical applications of game theory, we examine a class of learning dynamics where players adjust their choices based on…
Game-theoretical control with continuous action sets
Steven Perkins, Panayotis Mertikopoulos, David S. Leslie
Motivated by the recent applications of game-theoretical learning techniques to the design of distributed control systems, we study a class of control problems that can be formulat…
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…
A continuous-time approach to online optimization
Joon Kwon, Panayotis Mertikopoulos
We consider a family of learning strategies for online optimization problems that evolve in continuous time and we show that they lead to no regret. From a more traditional, discre…