Giorgia Ramponi
14 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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(2)
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Research topics
Reinforcement Learning
(11)
Machine Learning
(10)
Methods
(10)
Learning Types
(8)
Artificial Intelligence
(7)
Core AI
(7)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
inverse reinforcement learning
(4)
reward function
(4)
imitation learning
(3)
online learning
(3)
sample complexity
(2)
multi-agent learning
(2)
multi-agent system
(2)
nash equilibrium
(2)
policy learning
(2)
posterior sampling
(1)
model-based learning
(1)
offline reinforcement learning
(1)
learning theory
(1)
optimal transport
(1)
policy gradient
(1)
sample efficiency
(1)
mistake bound model
(1)
markov decision process
(1)
regret minimization
(1)
transfer learning
(1)
Papers
Preference Elicitation for Offline Reinforcement Learning
ICLR 2025
Contextual Bilevel Reinforcement Learning for Incentive Alignment
NeurIPS 2024
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
ICLR 2024
Truly No-Regret Learning in Constrained MDPs
ICML 2024
On Imitation in Mean-field Games
NeurIPS 2023
Active Exploration for Inverse Reinforcement Learning
NeurIPS 2022
Learning in Markov games: Can we exploit a general-sum opponent?
UAI 2022
Open Problem: Do you pay for Privacy in Online learning?
COLT 2022
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions
NeurIPS 2022
Learning in Non-Cooperative Configurable Markov Decision Processes
NeurIPS 2021
Newton Optimization on Helmholtz Decomposition for Continuous Games
AAAI 2021
Provably Efficient Learning of Transferable Rewards
ICML 2021
Inverse Reinforcement Learning from a Gradient-based Learner
NeurIPS 2020
Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions
AISTATS 2020