Scholar
Giorgia Ramponi
Google Scholar ID: xbIAH5gAAAAJ
Assistant Professor, University of Zurich
Citations & Impact
Citations
668
H-index
15
i10-index
18
Publications
20
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- - Won a Hassler Research Grant for the project: 'Unified Feedback Integration Framework for Reinforcement Learning'.
- - Multiple papers accepted at EWRL 2024, AAMAS 2024, ICLR 2024, ICML 2024, and NeurIPS 2024.
- - Paper 'On Imitation in Mean-field Games' accepted at NeurIPS 2023.
- - Designed and taught a new course called Data Science and Machine Learning for the ETH-Ashesi Master program.
- - Two papers accepted at NeurIPS 2022.
- - Paper 'Learning in Markov Games: can we exploit a general-sum opponent?' accepted as oral (~4%) at UAI 2022.
- - Paper 'Learning in Non-Cooperative Configurable Markov Decision Process' accepted at NeurIPS 2021.
- - Paper 'Provably Efficient Learning of Transferable Rewards' accepted at ICML 2021.
Research Experience
- - Postdoctoral researcher at the ETH AI Center, advised by Niao He and Andreas Krause, sponsored by Google Brain.
- - Previously worked on Social Network Analysis with Marco Brambilla and Stefano Ceri, and on Networking with Gaia Maselli.
Education
- - In June 2021, completed my Ph.D. in Information Technology at Politecnico di Milano (with honors), advised by Marcello Restelli.
- - In July 2017, obtained a Master of Science in Computer Science with the Honours Programme (110/110 cum laude) at Sapienza, advised by Flavio Chierichetti and Alessandro Panconesi.
Background
- I am an Assistant Professor with Tenure Track at the Faculty of Business, Economics and Informatics at the University of Zurich. I am also an affiliated professor at the ETH AI Center and an affiliated professor at the Data Science and AI, Computer Science and Engineering department at the Chalmers University of Technology. My research interests lie in machine learning and mathematical modelling, with a focus on reinforcement learning and multiagent learning.
Miscellany
- Part of the ELLIS community; invited lecturer at the Mediterranean Machine Learning Summer School; gave a talk on Reinforcement Learning and Multi-agent Learning at the New Frontiers in Learning, Control, and Dynamical Systems workshop at ICML 2023.
