Pavlos Andreadis
PhD Student

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Research Interests: Decision Theory, Preference Learning, Recommender Systems, Reinforcement Learning, Multi­agent Systems, Social Computation.
Research Description: My work is focussed on modelling coarseness in people’s models of utilities and preferences, and ways in which this impacts on sequential decision making such as recommendations, and other forms of multi­agent optimisation at the level of a larger system. I am part of the SmartSociety project, where I apply these ideas to domains such as ridesharing.