13 citations · 43 across the 18 of their papers we have counts for
4 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…
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…
Learning in Games with Quantized Payoff Observations
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos
This paper investigates the impact of feedback quantization on multi-agent learning. In particular, we analyze the equilibrium convergence properties of the well-known "follow the…
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits
Ilai Bistritz, Tavor Z. Baharav, Amir Leshem +1
Consider N cooperative but non-communicating players where each plays one out of M arms for T turns. Players have different utilities for each arm, representable as an NxM matrix.…