13 citations · 43 across the 18 of their papers we have counts for
3 papers · 1 filter
Payoff-based learning with matrix multiplicative weights in quantum games
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos +1
In this paper, we study the problem of learning in quantum games - and other classes of semidefinite games - with scalar, payoff-based feedback. For concreteness, we focus on the w…
Equilibrium Bandits: Learning Optimal Equilibria of Unknown Dynamics
Siddharth Chandak, Ilai Bistritz, Nicholas Bambos
Consider a decision-maker that can pick one out of actions to control an unknown system, for turns. The actions are interpreted as different configurations or policies. Hol…
Learning in quantum games
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos
In this paper, we introduce a class of learning dynamics for general quantum games, that we call "follow the quantum regularized leader" (FTQL), in reference to the classical "foll…