Giorgia Ramponi

Orcid: 0000-0002-3076-5448

According to our database1, Giorgia Ramponi authored at least 30 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Preference Elicitation for Offline Reinforcement Learning.
CoRR, 2024

Stochastic Bilevel Optimization with Lower-Level Contextual Markov Decision Processes.
CoRR, 2024

Truly No-Regret Learning in Constrained MDPs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Provably Learning Nash Policies in Constrained Markov Potential Games.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Cancellation-Free Regret Bounds for Lagrangian Approaches in Constrained Markov Decision Processes.
CoRR, 2023

On Imitation in Mean-field Games.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Do you pay for Privacy in Online learning?
CoRR, 2022

Learning in Markov games: Can we exploit a general-sum opponent?
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Learning on streaming graphs with experience replay.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Active Exploration for Inverse Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Newton-based Policy Search for Networked Multi-agent Reinforcement Learning.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Challenges and Opportunities in Multi-Agent Reinforcement Learning.
PhD thesis, 2021

Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems.
Mach. Learn., 2021

Learning in Non-Cooperative Configurable Markov Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Provably Efficient Learning of Transferable Rewards.
Proceedings of the 38th International Conference on Machine Learning, 2021

Newton Optimization on Helmholtz Decomposition for Continuous Games.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Content-based characterization of online social communities.
Inf. Process. Manag., 2020

Newton-based Policy Optimization for Games.
CoRR, 2020

Inverse Reinforcement Learning from a Gradient-based Learner.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Controlled Text Generation with Adversarial Learning.
Proceedings of the 13th International Conference on Natural Language Generation, 2020

Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Vocabulary-based community detection and characterization.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

News Sharing User Behaviour on Twitter: A Comprehensive Data Collection of News Articles and Social Interactions.
Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

Assigning users to domains of interest based on content and network similarity with champion instances.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
T-CGAN: Conditional Generative Adversarial Network for Data Augmentation in Noisy Time Series with Irregular Sampling.
CoRR, 2018

Iterative Knowledge Extraction from Social Networks.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Content-based Classification of Political Inclinations of Twitter Users.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016
JoyTag: a battery-less videogame controller exploiting RFID backscattering: demo.
Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, 2016


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