Mean-field reinforcement learning

This is the first conference in a series of events organised within a joint project initiated by King's College London and Université de Paris on mean-field games/mean-field type control, machine learning techniques and deep reinforcement learning based algorithms for dynamic optimisation problems and applications to finance, energy markets and social sciences.

The event will bring together leading experts in these fields from France and the UK, as well as promising young researchers.

Organisers

Roxana Dumitrescu (King's College London, UK) and Huyên Pham (Université de Paris, France)

 

Confirmed Speakers

Clémence Alasseur (EDF, France)

Haoyang Cao (Alan Turing Institute, UK)

Samuel Cohen (University of Oxford and the Alan Turing Institute, UK)

Matthieu Geist (Google Brain, France)

Olivier Guéant (Université Paris 1, France)

Aleksander Mijatovic (University of Warwick and the Alan Turing Institute, UK)

Mathieu Laurière (Google Brain, France)

Médéric Motte (Université de Paris, France)

Sarah Perrin (Université de Lille, France)

Davide Pigoli (King's College London, UK)

Christoph Reisinger (University of Oxford)

Justin Sirignano (University of Oxford, UK)

Lucasz Szpruch (Edinburgh University and the Alan Turing Institute, UK)

Peter Tankov (Ensae, France)

Nizar Touzi (Ecole Polytechnique, France)

Xiaoli Wei (Tsinghua Berkeley Shenzen Institute)

Programme

The event programme can be found here