Gianvito Losapio

Gianvito Losapio

Research fellow @ Polimi

About me

Hi! I am currently part of the RL lab at Politecnico di Milano, working on distributed reinforcement learning for industrial production plants. My supervisor is Marcello Restelli.

Previously, I worked with Lorenzo Rosasco and Agnese Seminara at the Machine Learning Genoa Center.

During Graduate School I was a summer student at CERN, working with Thomas Owen James and Emilio Meschi. I also interned at the National Research Council of Italy, working with Vito Renò and Rosalia Maglietta.

Interests

  • Reinforcement learning
  • Cognitive neuroscience

Education

  • M.S. in Computer Science, 2022

    University of Genoa

  • B.S. in Computer Science and Automation Engineering, 2019

    Polytechnic University of Bari

Publications

(2022). Learning new physics efficiently with nonparametric methods. European Physical Journal C, 82(10), 879.

PDF Poster DOI

(2022). Smart Balancing of E-scooter Sharing Systems via Deep Reinforcement Learning: a preliminary study. WOA2021 & Intelligenza Artificiale, 16(1), 49-67.

PDF DOI

(2022). Efficient Machine Learning for new physics discoveries. Master Thesis.

PDF Slides

(2021). Efficient kernel methods for model-independent new physics searches. NeurIPS 2021, Machine Learning and the Physical Sciences Workshop.

PDF

(2021). Machine Learning for 40 MHZ Scouting at CMS. Zenodo.

PDF Slides Video DOI

(2020). Lightweight and efficient convolutional neural networks for recognition of dolphin dorsal fins. IMEKO TC-19 International Workshop on Metrology for the Sea.

PDF Video

(2020). Combined Color Semantics and Deep Learning for the Automatic Detection of Dolphin Dorsal Fins. Electronics, 9(5), 758.

PDF Poster DOI

(2019). Tecniche di Deep Learning e Object Detection per la foto-identificazione dei cetacei. Bachelor Thesis.

PDF Slides

Misc

Interview to Professor Alessandro Verri

During my period at MaLGa, I had the pleasure to speak with professor Alessandro Verri about topics such as artificial intelligence, faith, consciousness. Below you will find the English version of the interview.
Last updated on Mar 29, 2023 16 min read Interviews

Notes

Efficient generalization in Partially Observable Markov Decision Processes: a case study

Contact

  • gvlosapio AT gmail DOT com
  • Via Camillo Golgi 39, Milan, MI 20133
  • Telegram