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Giorgia Ramponi
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2020 – today
- 2024
- [c21]Pragnya Alatur, Giorgia Ramponi, Niao He, Andreas Krause:
Provably Learning Nash Policies in Constrained Markov Potential Games. AAMAS 2024: 31-39 - [c20]Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx, Giorgia Ramponi:
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning. ICLR 2024 - [c19]Adrian Müller, Pragnya Alatur, Volkan Cevher, Giorgia Ramponi, Niao He:
Truly No-Regret Learning in Constrained MDPs. ICML 2024 - [i13]Adrian Müller, Pragnya Alatur, Volkan Cevher, Giorgia Ramponi, Niao He:
Truly No-Regret Learning in Constrained MDPs. CoRR abs/2402.15776 (2024) - [i12]Vinzenz Thoma, Barna Pasztor, Andreas Krause, Giorgia Ramponi, Yifan Hu:
Stochastic Bilevel Optimization with Lower-Level Contextual Markov Decision Processes. CoRR abs/2406.01575 (2024) - [i11]Alizée Pace, Bernhard Schölkopf, Gunnar Rätsch, Giorgia Ramponi:
Preference Elicitation for Offline Reinforcement Learning. CoRR abs/2406.18450 (2024) - 2023
- [c18]Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Laurière, Matthieu Geist:
On Imitation in Mean-field Games. NeurIPS 2023 - [i10]Adrian Müller, Pragnya Alatur, Giorgia Ramponi, Niao He:
Cancellation-Free Regret Bounds for Lagrangian Approaches in Constrained Markov Decision Processes. CoRR abs/2306.07001 (2023) - [i9]Pragnya Alatur, Giorgia Ramponi, Niao He, Andreas Krause:
Provably Learning Nash Policies in Constrained Markov Potential Games. CoRR abs/2306.07749 (2023) - [i8]Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Laurière, Matthieu Geist:
On Imitation in Mean-field Games. CoRR abs/2306.14799 (2023) - [i7]Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx
, Giorgia Ramponi:
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning. CoRR abs/2310.07518 (2023) - 2022
- [c17]Giorgio Manganini
Newton-based Policy Search for Networked Multi-agent Reinforcement Learning. CDC 2022: 7241-7247 - [c16]David Lindner, Andreas Krause, Giorgia Ramponi:
Active Exploration for Inverse Reinforcement Learning. NeurIPS 2022 - [c15]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 - [c14]Massimo Perini
Learning on streaming graphs with experience replay. SAC 2022: 470-478 - [c13]Giorgia Ramponi, Marcello Restelli:
Learning in Markov games: Can we exploit a general-sum opponent? UAI 2022: 1665-1675 - [i6]David Lindner, Andreas Krause, Giorgia Ramponi:
Active Exploration for Inverse Reinforcement Learning. CoRR abs/2207.08645 (2022) - [i5]Amartya Sanyal, Giorgia Ramponi:
Do you pay for Privacy in Online learning? CoRR abs/2210.04817 (2022) - [i4]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 abs/2210.11137 (2022) - 2021
- [b1]Giorgia Ramponi:
Challenges and Opportunities in Multi-Agent Reinforcement Learning. Polytechnic University of Milan, Italy, 2021 - [j2]Amarildo Likmeta
Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems. Mach. Learn. 110(9): 2541-2576 (2021) - [c12]Giorgia Ramponi, Marcello Restelli:
Newton Optimization on Helmholtz Decomposition for Continuous Games. AAAI 2021: 11325-11333 - [c11]Alberto Maria Metelli, Giorgia Ramponi, Alessandro Concetti, Marcello Restelli:
Provably Efficient Learning of Transferable Rewards. ICML 2021: 7665-7676 - [c10]Giorgia Ramponi, Alberto Maria Metelli, Alessandro Concetti, Marcello Restelli:
Learning in Non-Cooperative Configurable Markov Decision Processes. NeurIPS 2021: 22808-22821 - 2020
- [j1]Giorgia Ramponi
Content-based characterization of online social communities. Inf. Process. Manag. 57(6): 102133 (2020) - [c9]Giorgia Ramponi, Amarildo Likmeta
Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions. AISTATS 2020: 2359-2369 - [c8]Federico Betti, Giorgia Ramponi, Massimo Piccardi:
Controlled Text Generation with Adversarial Learning. INLG 2020: 29-34 - [c7]Giorgia Ramponi, Gianluca Drappo, Marcello Restelli:
Inverse Reinforcement Learning from a Gradient-based Learner. NeurIPS 2020 - [i3]Giorgia Ramponi, Marcello Restelli:
Newton-based Policy Optimization for Games. CoRR abs/2007.07804 (2020) - [i2]Giorgia Ramponi, Gianluca Drappo, Marcello Restelli:
Inverse Reinforcement Learning from a Gradient-based Learner. CoRR abs/2007.07812 (2020)
2010 – 2019
- 2019
- [c6]Mattia Gasparini, Giorgia Ramponi, Marco Brambilla
Assigning users to domains of interest based on content and network similarity with champion instances. ASONAM 2019: 589-592 - [c5]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: 592-597 - [c4]Giorgia Ramponi
Vocabulary-based community detection and characterization. SAC 2019: 1043-1050 - 2018
- [c3]Marco Di Giovanni, Marco Brambilla
Content-based Classification of Political Inclinations of Twitter Users. IEEE BigData 2018: 4321-4327 - [c2]Marco Brambilla
Iterative Knowledge Extraction from Social Networks. WWW (Companion Volume) 2018: 1359-1364 - [i1]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 abs/1811.08295 (2018) - 2016
- [c1]Gaia Maselli
JoyTag: a battery-less videogame controller exploiting RFID backscattering: demo. MobiCom 2016: 515-516
Coauthor Index
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last updated on 2024-10-01 20:48 CEST by the dblp team
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