3 citations · 6 across the 5 of their papers we have counts for
7 papers
Learning Rewards in Strategic Games
Antoine Bergerault, Cyrille Kone, Giorgia Ramponi
Understanding the objectives that drive agents' behavior is crucial in strategic environments, where multiple agents interact and adapt to one another. This challenge arises in dom…
Optimal Posterior Sampling for Policy Identification in Tabular Markov Decision Processes
Cyrille Kone, Kevin Jamieson
We study the -PAC policy identification problem in finite-horizon episodic Markov Decision Processes. Existing approaches provide finite-time guarantees for appro…
Bandit Pareto Set Identification in a Multi-Output Linear Model
Cyrille Kone, Emilie Kaufmann, Laura Richert
We study the Pareto Set Identification (PSI) problem in a structured multi-output linear bandit model. In this setting, each arm is associated a feature vector belonging to $\mathb…
Constrained Pareto Set Identification with Bandit Feedback
Cyrille Kone, Emilie Kaufmann, Laura Richert
In this paper, we address the problem of identifying the Pareto Set under feasibility constraints in a multivariate bandit setting. Specifically, given a -armed bandit with unkn…
Pareto Set Identification With Posterior Sampling
Cyrille Kone, Marc Jourdan, Emilie Kaufmann
The problem of identifying the best answer among a collection of items having real-valued distribution is well-understood. Despite its practical relevance for many applications, fe…
Bandit Pareto Set Identification: the Fixed Budget Setting
Cyrille Kone, Emilie Kaufmann, Laura Richert
We study a multi-objective pure exploration problem in a multi-armed bandit model. Each arm is associated to an unknown multi-variate distribution and the goal is to identify the d…
Adaptive Algorithms for Relaxed Pareto Set Identification
Cyrille Kone, Emilie Kaufmann, Laura Richert
In this paper we revisit the fixed-confidence identification of the Pareto optimal set in a multi-objective multi-armed bandit model. As the sample complexity to identify the exact…