Learning algorithms in the presence of human feedback - 2026_IDR_DEIB_75

The research activity will focus on the development of learning algorithms that enable artificial agents to acquire skills through interaction (feedback) with humans. The objectives include: the development of learning algorithms (for instance online learning, bandits, or reinforcement learning); possibly the study of their theoretical properties (statistical and/or computational); their implementation, and the experimental validation in simulation.

Selection process

In order to participate in the selection, please read the call ("bando") available at the following website: https://www.polimi.it/en/bandi-incarichidiricerca Oral test aimed at ascertaining candidates’ aptitude and suitability to carry out the research activity covered by the Fellowship, as well as at assessing their knowledge of English and/or other languages relevant to the research activities to be performed (up to 55 points) Relevance and pertinence of the publications, theses and scientific products attached to the research programme covered by the Fellowship (up to 15 points) Relevance and pertinence of previous research activities and work experience, if any, in relation to the research activity covered by the Fellowship (up to 15 points) Relevance and pertinence of their study programme to the research programme covered by the Fellowship (up to 15 points)

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