most citedOrthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold

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stat.ML2024

Incentivized Learning in Principal-Agent Bandit Games

Antoine Scheid, Daniil Tiapkin, Etienne Boursier +5

This work considers a repeated principal-agent bandit game, where the principal can only interact with her environment through the agent. The principal and the agent have misaligne…

stat.ML2023

Fast Rates for Maximum Entropy Exploration

Daniil Tiapkin, Denis Belomestny, Daniele Calandriello +7

We address the challenge of exploration in reinforcement learning (RL) when the agent operates in an unknown environment with sparse or no rewards. In this work, we study the maxim…