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researcher / Alessandro Lazaric

Alessandro Lazaric

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Disciplines:

Applied mathematics

Computer sciences

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Directed Thesis:

Exploration-exploitation dilemma in reinforcement learning under various form of prior knowledge

Novel learning and exploration-exploitation methods for effective recommender systems

Efficient sequential learning in structured and constrained environments

Exploration-exploitation with Thompson sampling in linear systems

Sequential resources allocation in linear stochastic bandits

Apprentissage automatique pour la prise de décisions