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Romuald Élie

2 accepted papers

2022

Generalization in Mean Field Games by Learning Master Policies

AAAI 2022technical

Mean Field Games (MFGs) can potentially scale multi-agent systems to extremely large populations of agents. Yet, most of the literature assumes a single initial distribution for the agents, which limits the practical applications of MFGs. Machine Learning has the potential to solve a wider diversity…

Cited by 45SourcePDFScholar
2021

Mean Field Games Flock! The Reinforcement Learning Way

IJCAI 2021poster

We present a method enabling a large number of agents to learn how to flock. This problem has drawn a lot of interest but requires many structural assumptions and is tractable only in small dimensions. We phrase this problem as a Mean Field Game (MFG), where each individual chooses its own accelera…