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02/27/2023
Equilibrium Bandits: Learning Optimal Equilibria of Unknown Dynamics
Consider a decision-maker that can pick one out of K actions to control ...
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03/08/2021
No Discounted-Regret Learning in Adversarial Bandits with Delays
Consider a player that in each round t out of T rounds chooses an action...
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02/23/2020
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits
Consider N cooperative but non-communicating players where each plays on...
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02/17/2019
Distributed Learning for Channel Allocation Over a Shared Spectrum
Channel allocation is the task of assigning channels to users such that ...
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10/26/2018
Game of Thrones: Fully Distributed Learning for Multi-Player Bandits
We consider a multi-armed bandit game where N players compete for M arms...
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10/26/2018
