Giorgia Ramponi

Giorgia Ramponi

PhD candidate

Politecnico di Milano

Biography

Hi! I am a PhD candidate in Computer Science at Politecnico di Milano, advised by Marcello Restelli. In 2017, I obtained a Master of Science in Computer Science with the Honours Programme (110/110 cum laude) from la Sapienza advised by Flavio Chierichetti. My research interests lie in machine learning and mathematical modelling, with a focus on reinforcement learning and multiagent learning.

In my previous life I worked on Social Network Analysis with Marco Brambilla and Stefano Ceri, and on Networking with Gaia Maselli.

Interests

  • Machine Learning
  • Reinforcement Learning
  • Mathematical Modeling

Education

  • PhD in Computer Science, 2017 - on going

    Politecnico di Milano

  • Visiting PhD, 2018

    Harvard University

  • MSc in Computer Science (110/110 cum laude), 2015 - 2017

    La Sapienza University of Rome

  • BSc in Computer Science (110/110 cum laude), 2012 - 2015

    La Sapienza University of Rome

News

ONE PAPER ACCEPTED AT AAAI2021 workshop

Our paper ‘‘Online Learning in Non-Cooperative Configurable Markov Decision Process’’ has been accepted at RLG 2021 workshop at AAAI
Dec 8, 2020 0 min read

ONE PAPER ACCEPTED AT AAAI2021

Our paper ‘‘Newton Optimization on Helmholtz Decomposition for Continuous Games’’ has been accepted at AAAI2021
Dec 8, 2020 0 min read

TWO PAPERS ACCEPTED AT NeurIPS workshops

Our paper ‘‘Handling Non-Stationary Experts in Inverse Reinforcement Learning: A Water System Control Case Study’’ has been accepted at Challenges of Real World Reinforcement Learning Workshop, and ‘‘Newton-based Policy Optimization for Games’’ has been accepted at CooperativeAI workshop.
Oct 31, 2020 0 min read

ONE PAPER ACCEPTED AT INLG 2020

Our paper ‘‘Controlled Text Generation with Adversarial Learning’’ has been accepted at INLG 2020
Oct 12, 2020 0 min read

ONE PAPER ACCEPTED AT NeurIPS 2020

Our paper Inverse Reinforcement Learning from a Gradient-based Learner has been accepted at NeurIPS 2020
Last updated on Sep 27, 2020 0 min read
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Publications

Giorgia Ramponi, Marcello Restelli (2021). Newton Optimization on Helmholtz Decomposition for Continuous Games. to appear at AAAI.

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Giorgia Ramponi, Gianluca Drappo, Marcello Restelli (2020). Inverse Reinforcement Learning from a Gradient-based Learner. Advances in Neural Information Processing Systems.

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Giorgia Ramponi, Marco Brambilla, Stefano Ceri, Florian Daniel, Marco Di Giovanni (2020). Content-based characterization of online social communities. Information Processing & Management Journal.

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Giorgia Ramponi, Amarildo Likmeta, Alberto Maria Metelli, Andrea Tirinzoni, Marcello Restelli (2020). Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions. International Conference on Artificial Intelligence and Statistics.

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Mattia Gasparini, Giorgia Ramponi, Marco Brambilla, Stefano Ceri (2019). Assigning users to domains of interest based on content and network similarity with champion instances. Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

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