Till Freihaut, Luca Viano, Emanuele Nevali, Volkan Cevher, Matthieu Geist, Giorgia Ramponi. "Rate optimal Learning of equilibria from data". ArXiv, Paper.

Maël Macuglia, Paul Friedrich, Giorgia Ramponi "Fine-tuning Behavioral Cloning Policies with Preference-Based Reinforcement Learning". ArXiv. Paper.

Colin Merk, Ismail Geles, Jiaxu Xing, Angel Romero, Giorgia Ramponi, Davide Scaramuzza. "Learning Real-World Acrobatic Flight from Human Preferences". ArXiv, Paper.

David Guzman Piedrahita, Yongjin Yang, Mrinmaya Sachan, Giorgia Ramponi, Bernhard Schölkopf, Zhijing Jin. "Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games".  COLM 2025, Paper.

Till Freihaut, Luca Viano, Volkan Cevher, Matthieu Geist, Giorgia Ramponi. "Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning". NeurIPS 2025. Paper.

Till Freihaut, Giorgia Ramponi. "On feasible rewards in multi-agent inverse reinforcement learning". Spotlight (3%), NeurIPS 2025. Paper.

Paul Friedrich, Barna Pásztor, Giorgia Ramponi. "Learning Collusion in Episodic, Inventory-Constrained Markets". AAMAS2025. Paper.

Alizée Pace, Bernhard Schölkopf, Gunnar Rätsch, Giorgia Ramponi. "Preference Elicitation for Offline Reinforcement Learning". ICLR2025. Paper.

U Koren, N Kumar, U Gadot, G Ramponi, KY Levy, S Mannor. "Policy Gradient with Tree Search: Avoiding Local Optimas through Lookahead". NeurIPS 2025

N Kumar, A Gupta, MM Elfatihi, G Ramponi, KY Levy, S Mannor, Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes. NeurIPS 2025

Vinzenz Thoma, Barna Pásztor, Andreas Krause, Giorgia Ramponi, Yifan Hu. "Contextual bilevel reinforcement learning for incentive alignment". NeurIPS 2024. Paper.

Pragnya Alatur, Giorgia Ramponi, Niao He, Andreas Krause "Provably Learning Nash Policies in Constrained Markov Potential Games." Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems, 2024.

Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx, & Giorgia Ramponi, Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning. In The Twelfth International Conference on Learning Representations, ICLR 2024.

Belen Martin Urcelay, Andreas Krause, Giorgia Ramponi. "Reinforcement learning from human text feedback: Learning a reward model from human text input". ICML2024 Workshop. Paper. 

Adrian Müller, Pragnya Alatur, Volkan Cevher, Giorgia Ramponi, Niao He. "Truly no-regret learning in constrained mdps". Spotlight, ICML2024. Paper.