1997 Beng, University of Manchester

1998 Msc, University of Essex

2006 PhD, IDIAP/EPFL, with Samy Bengio

2007 Postdoc, University of Leoben, with Peter Auer

2008 Postdoc, University of Amsterdam

2010 Frankfurt Institute for Advanced Studies

2011 Marie-Curie Fellow, EPFL

2013 Researcher, Chalmers University of Technology

2014 Visiting Professor, Tokyo Institute of Technology

2015 Maitre de Conferences, Universite de Lille

2016 Visiting Scholar, Harvard University

2018 Professor, University of Oslo

2022 Professor, Universite de Neuchatel

Reinforcement Learning

Inverse Reinforcement Learning and Preference Elicitation

Human-AI Collaboration

Bayesian Inference

Autonomous Vehicles

Representations of Uncertainty

Decision Making Under Uncertainty

Differential Privacy

Group Fairness and Meritocracy

Artificial Intelligence

Machine Learning

Reinforcement Learning

Privacy and Fairness

Buening, T. K., Dimitrakakis, C., Eriksson, H., Grover, D., Jorge, E. (2023) Minimax-Bayes Reinforcement Learning, arXiv.

Buening, T. K., Segal, M., Basu, D., Dimitrakakis, C., George, A.-M. (2022) On Meritocracy in Optimal Set Selection, arXiv.

Eriksson, H., Basu, D., Alibeigi, M. & Dimitrakakis, C. (2021) SENTIL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning, arXiv.

Buening, T. K., George, A.-M. & Dimitrakakis, C. (2021) Interactive Inverse Reinforcement Learning for Cooperative Games, arXiv.

Eriksson, H., Jorge, E., Dimitrakakis, C., Basu, D., Grover, D. (2020) Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning, arXiv.

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