no code implementations • 25 May 2022 • Mathieu Laurière, Sarah Perrin, Julien Pérolat, Sertan Girgin, Paul Muller, Romuald Élie, Matthieu Geist, Olivier Pietquin
Non-cooperative and cooperative games with a very large number of players have many applications but remain generally intractable when the number of players increases.
no code implementations • 22 Mar 2022 • Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Élie, Olivier Pietquin, Matthieu Geist
One limiting factor to further scale up using RL is that existing algorithms to solve MFGs require the mixing of approximated quantities such as strategies or $q$-values.
no code implementations • 20 Sep 2021 • Sarah Perrin, Mathieu Laurière, Julien Pérolat, Romuald Élie, Matthieu Geist, Olivier Pietquin
Mean Field Games (MFGs) can potentially scale multi-agent systems to extremely large populations of agents.
no code implementations • 17 May 2021 • Sarah Perrin, Mathieu Laurière, Julien Pérolat, Matthieu Geist, Romuald Élie, Olivier Pietquin
We present a method enabling a large number of agents to learn how to flock, which is a natural behavior observed in large populations of animals.