39 citations · 108 across the 11 of their papers we have counts for
5 papers · 1 filter
Choose Your Battles: Distributed Learning Over Multiple Tug of War Games
Siddharth Chandak, Ilai Bistritz, Nicholas Bambos
Consider players and games taking place simultaneously. Each of these games is modeled as a Tug-of-War (ToW) game where increasing the action of one player decreases the re…
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.…
Game of Thrones: Fully Distributed Learning for Multi-Player Bandits
Ilai Bistritz, Amir Leshem
We consider an N-player multi-armed bandit game where each player chooses one out of M arms for T turns. Each player has different expected rewards for the arms, and the instantane…
Approximate Best-Response Dynamics in Random Interference Games
Ilai Bistritz, Amir Leshem
In this paper we develop a novel approach to the convergence of Best-Response Dynamics for the family of interference games. Interference games represent the fundamental resource a…
Asymptotically Optimal Distributed Channel Allocation: a Competitive Game-Theoretic Approach
Ilai Bistritz, Amir Leshem
In this paper we consider the problem of distributed channel allocation in large networks under the frequency-selective interference channel. Performance is measured by the weighte…