Giorgia Ramponi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 35

Top Topics

Markov Decision Processes

Reinforcement Learning

Online Learning

Preference Elicitation

Top Venues

Publications

Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx, Giorgia Ramponi
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning. ICLR (2024)
Adrian Müller, Pragnya Alatur, Volkan Cevher, Giorgia Ramponi, Niao He
Truly No-Regret Learning in Constrained MDPs. CoRR (2024)
Vinzenz Thoma, Barna Pasztor, Andreas Krause, Giorgia Ramponi, Yifan Hu
Stochastic Bilevel Optimization with Lower-Level Contextual Markov Decision Processes. CoRR (2024)
Pragnya Alatur, Giorgia Ramponi, Niao He, Andreas Krause
Provably Learning Nash Policies in Constrained Markov Potential Games. AAMAS (2024)
Alizée Pace, Bernhard Schölkopf, Gunnar Rätsch, Giorgia Ramponi
Preference Elicitation for Offline Reinforcement Learning. CoRR (2024)
Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx, Giorgia Ramponi
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning. CoRR (2023)
Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Laurière, Matthieu Geist
On Imitation in Mean-field Games. CoRR (2023)
Pragnya Alatur, Giorgia Ramponi, Niao He, Andreas Krause
Provably Learning Nash Policies in Constrained Markov Potential Games. CoRR (2023)
Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Laurière, Matthieu Geist
On Imitation in Mean-field Games. NeurIPS (2023)
Adrian Müller, Pragnya Alatur, Giorgia Ramponi, Niao He
Cancellation-Free Regret Bounds for Lagrangian Approaches in Constrained Markov Decision Processes. CoRR (2023)
Amartya Sanyal, Giorgia Ramponi
Do you pay for Privacy in Online learning? CoRR (2022)
Giorgio Manganini, Simone Fioravanti, Giorgia Ramponi
Newton-based Policy Search for Networked Multi-agent Reinforcement Learning. CDC (2022)
David Lindner, Andreas Krause, Giorgia Ramponi
Active Exploration for Inverse Reinforcement Learning. CoRR (2022)
Giorgia Ramponi, Marcello Restelli
Learning in Markov games: Can we exploit a general-sum opponent? UAI (2022)
David Lindner, Andreas Krause, Giorgia Ramponi
Active Exploration for Inverse Reinforcement Learning. NeurIPS (2022)
Massimo Perini, Giorgia Ramponi, Paris Carbone, Vasiliki Kalavri
Learning on streaming graphs with experience replay. SAC (2022)
Antonio Terpin, Nicolas Lanzetti, Batuhan Yardim, Florian Dörfler, Giorgia Ramponi
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions. NeurIPS (2022)
Antonio Terpin, Nicolas Lanzetti, Batuhan Yardim, Florian Dörfler, Giorgia Ramponi
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions. CoRR (2022)
Giorgia Ramponi, Marcello Restelli
Newton Optimization on Helmholtz Decomposition for Continuous Games. AAAI (2021)
Amarildo Likmeta, Alberto Maria Metelli, Giorgia Ramponi, Andrea Tirinzoni, Matteo Giuliani, Marcello Restelli
Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems. Mach. Learn. 110 (9) (2021)
Giorgia Ramponi, Alberto Maria Metelli, Alessandro Concetti, Marcello Restelli
Learning in Non-Cooperative Configurable Markov Decision Processes. NeurIPS (2021)
Alberto Maria Metelli, Giorgia Ramponi, Alessandro Concetti, Marcello Restelli
Provably Efficient Learning of Transferable Rewards. ICML (2021)
Giorgia Ramponi, Amarildo Likmeta, Alberto Maria Metelli, Andrea Tirinzoni, Marcello Restelli
Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions. AISTATS (2020)
Giorgia Ramponi, Marco Brambilla, Stefano Ceri, Florian Daniel, Marco Di Giovanni
Content-based characterization of online social communities. Inf. Process. Manag. 57 (6) (2020)
Giorgia Ramponi, Gianluca Drappo, Marcello Restelli
Inverse Reinforcement Learning from a Gradient-based Learner. NeurIPS (2020)
Giorgia Ramponi, Gianluca Drappo, Marcello Restelli
Inverse Reinforcement Learning from a Gradient-based Learner. CoRR (2020)
Giorgia Ramponi, Marcello Restelli
Newton-based Policy Optimization for Games. CoRR (2020)
Federico Betti, Giorgia Ramponi, Massimo Piccardi
Controlled Text Generation with Adversarial Learning. INLG (2020)
Giovanni Brena, Marco Brambilla, Stefano Ceri, Marco Di Giovanni, Francesco Pierri, Giorgia Ramponi
News Sharing User Behaviour on Twitter: A Comprehensive Data Collection of News Articles and Social Interactions. ICWSM (2019)
Giorgia Ramponi, Marco Brambilla, Stefano Ceri, Florian Daniel, Marco Di Giovanni
Vocabulary-based community detection and characterization. SAC (2019)
Mattia Gasparini, Giorgia Ramponi, Marco Brambilla, Stefano Ceri
Assigning users to domains of interest based on content and network similarity with champion instances. ASONAM (2019)
Giorgia Ramponi, Pavlos Protopapas, Marco Brambilla, Ryan Janssen
T-CGAN: Conditional Generative Adversarial Network for Data Augmentation in Noisy Time Series with Irregular Sampling. CoRR (2018)
Marco Di Giovanni, Marco Brambilla, Stefano Ceri, Florian Daniel, Giorgia Ramponi
Content-based Classification of Political Inclinations of Twitter Users. IEEE BigData (2018)
Marco Brambilla, Stefano Ceri, Florian Daniel, Marco Di Giovanni, Andrea Mauri, Giorgia Ramponi
Iterative Knowledge Extraction from Social Networks. WWW (Companion Volume) (2018)
Gaia Maselli, Mauro Piva, Giorgia Ramponi, Deepak Ganesan
JoyTag: a battery-less videogame controller exploiting RFID backscattering: demo. MobiCom (2016)