Giorgia Ramponi

papers

100

total citations

papers (11)

Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions

NEURIPS 2022arXiv

citations

On Imitation in Mean-field Games

NEURIPS 2023arXiv

citations

Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning

ICLR 2024arXiv

citations

Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games

COLM 2025

citations

On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning

NEURIPS 2025arXiv

citations

Preference Elicitation for Offline Reinforcement Learning

ICLR 2025arXiv

citations

On the Convergence of Single-Timescale Actor-Critic

NEURIPS 2025arXiv

citations

Learning in Non-Cooperative Configurable Markov Decision Processes

NEURIPS 2021

citations

Giorgia Ramponi

papers (11)

Active Exploration for Inverse Reinforcement Learning

Truly No-Regret Learning in Constrained MDPs

Inverse Reinforcement Learning from a Gradient-based Learner

Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions

On Imitation in Mean-field Games

Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning

Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games

On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning

Preference Elicitation for Offline Reinforcement Learning

On the Convergence of Single-Timescale Actor-Critic

Learning in Non-Cooperative Configurable Markov Decision Processes

papers (11)

Active Exploration for Inverse Reinforcement Learning

Truly No-Regret Learning in Constrained MDPs

Inverse Reinforcement Learning from a Gradient-based Learner

Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions

On Imitation in Mean-field Games

Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning

Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games

On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning

Preference Elicitation for Offline Reinforcement Learning

On the Convergence of Single-Timescale Actor-Critic

Learning in Non-Cooperative Configurable Markov Decision Processes