1 citations · 1 across the 6 of their papers we have counts for
8 papers
Inference of Altruism and Intrinsic Rewards in Multi-Agent Systems
Victor Villin, Christos Dimitrakakis
Human interactions are influenced by emotions, temperament, and affection, often conflicting with individuals' underlying preferences. Without explicit knowledge of those preferenc…
Sequential Cohort Selection under Uncertainty
Hortence Yiepnou, Christos Dimitrakakis
We study the problem of fair cohort selection under uncertainty, motivated by university admissions where applicant outcomes are only partially observed. We consider both a one-sho…
Fair Contracts in Principal-Agent Games with Heterogeneous Types
Jakub Tłuczek, Victor Villin, Christos Dimitrakakis
Fairness is desirable yet challenging to achieve within multi-agent systems, especially when agents differ in latent traits that affect their abilities. This hidden heterogeneity o…
Two-Player Zero-Sum Games with Bandit Feedback
Elif Yılmaz, Christos Dimitrakakis
We study a two-player zero-sum game in which the row player aims to maximize their payoff against a competing column player, under an unknown payoff matrix estimated through bandit…
A Minimax Approach to Ad Hoc Teamwork
Victor Villin, Thomas Kleine Buening, Christos Dimitrakakis
We propose a minimax-Bayes approach to Ad Hoc Teamwork (AHT) that optimizes policies against an adversarial prior over partners, explicitly accounting for uncertainty about partner…
Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret
Emilio Jorge, Christos Dimitrakakis, Debabrota Basu
Common assumptions, like linear or RKHS models, and Gaussian or log-concave posteriors over the models, do not explain practical success of RL across a wider range of distributions…
Strategic Linear Contextual Bandits
Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis +1
Motivated by the phenomenon of strategic agents gaming a recommender system to maximize the number of times they are recommended to users, we study a strategic variant of the linea…
Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation
Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis +1
We study a strategic variant of the multi-armed bandit problem, which we coin the strategic click-bandit. This model is motivated by applications in online recommendation where the…