Alexis David Jacq

Alexis David Jacq

I did my PhD in Human-Robot Interactions at EPFL in Lausanne and at IST in Lisbon and my master in machine learning (MVA) at ENS in Cachan. Before joining as a research scientist, I was an intern at Google, working on multi-agent reinforcement learning: how agents can learn learn from each others and cooperate. My research interests cover all the aspects of reinforcement learning including exploration, imitation and multi-agent learning.
Authored Publications
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    Google
Lazy-MDPs: Towards Interpretable RL by Learning When to Act
Johan Ferret
Matthieu Geist
Olivier Pietquin
AAMAS 2022
Foolproof Cooperative Learning
Julien Perolat
Matthieu Geist
Olivier Pietquin
proceedings of ACML 2020
Learning from a Learner
Matthieu Geist
Ana Paiva
Olivier Pietquin
ICML (2019)