Scholar
Matteo Pirotta
Google Scholar ID: 6qWcDTAAAAAJ
Research Scientist, Meta (FAIR)
Citations & Impact
Citations
2,666
H-index
31
i10-index
51
Publications
20
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers at top-tier conferences including NeurIPS (2018, 2019), ICML (2018, 2021), AAAI (2020), AISTATS (2020, 2021), ALT (2019, 2021), etc.
- Recognized as a 'top reviewer' at NeurIPS 2018 with complimentary registration.
- Selected for a research position (Chargé de Recherche) at INRIA Lille in 2018.
- Co-organized the 14th European Workshop on Reinforcement Learning (EWRL 2018) and the ICML/IJCAI workshop on Prediction and Generative Modeling in RL (PGMRL).
- Co-developed an open-source Python library for exploration-exploitation in RL with Ronan Fruit (available on GitHub).
- Invited to give talks and tutorials at institutions and conferences worldwide, including TTIC, MSRA, Google Zurich, and Amazon Berlin.
Research Experience
- Postdoctoral researcher at INRIA Lille - Nord Europe in the SequeL team for nearly two years.
- Postdoc at Politecnico di Milano prior to that.
- Joined Facebook AI Research (now Meta FAIR) in Paris as a research scientist in October 2018.
- Organized and lectured at multiple workshops and summer schools on reinforcement learning, such as RLSS and RLVS-ANITI.
- Taught reinforcement learning at AIMS AMMI in Ghana.
