PPaperPicks

Alberto Maria Metelli

29 papers at tracked venues · 20 at CORE A* · active 2024–2025

DBLP profile ↗ORCID 0000-0002-3424-5212 ↗Homepage ↗

Venues

ICML ×11NeurIPS ×7AISTATS ×4COLT ×3AAAI ×2ECML-PKDD ×1IJCAI ×1

Frequent coauthors

Marcello Restelli
×14
Marco Mussi
×11
Matteo Papini
×7
Gianmarco Genalti
×5
Alessandro Montenegro
×4
Simone Drago
×4
Nicola Gatti
×4
Davide Maran
×4
Filippo Lazzati
×3
Alessio Russo
×2
Francesco Bacchiocchi
×2
Francesco Trovò
×2

Papers

  1. Achieving $\widetilde{\mathcal{O}}(\sqrt{T})$ Regret in Average-Reward POMDPs with Known Observation Models
    AISTATS 2025 ·
    Alessio Russo
    , Alberto Maria Metelli,
    Marcello Restelli
  2. Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity
    ICML 2025 ·
    Alessandro Montenegro
    ,
    Marco Mussi
    ,
    Matteo Papini
    , Alberto Maria Metelli
  3. Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning
    AISTATS 2025 ·
    Gianluca Drappo
    ,
    Arnaud Robert
    ,
    Marcello Restelli
    ,
    Aldo A. Faisal
    , Alberto Maria Metelli,
    Ciara Pike-Burke
  4. Learning Utilities from Demonstrations in Markov Decision Processes
    ICML 2025 ·
    Filippo Lazzati
    , Alberto Maria Metelli
  5. Open Problem: Regret Minimization in Heavy-Tailed Bandits with Unknown Distributional Parameters
    COLT 2025 ·
    Gianmarco Genalti
    , Alberto Maria Metelli
  6. Position: Constants are Critical in Regret Bounds for Reinforcement Learning
    ICML 2025 ·
    Simone Drago
    ,
    Marco Mussi
    , Alberto Maria Metelli
  7. Sleeping Reinforcement Learning
    ICML 2025 ·
    Simone Drago
    ,
    Marco Mussi
    , Alberto Maria Metelli
  8. Spectral Learning for Infinite-Horizon Average-Reward POMDPs
    NeurIPS 2025 ·
    Alessio Russo
    , Alberto Maria Metelli,
    Marcello Restelli
  9. Tightening Regret Lower and Upper Bounds in Restless Rising Bandits
    NeurIPS 2025 ·
    Cristiano Migali
    ,
    Marco Mussi
    ,
    Gianmarco Genalti
    , Alberto Maria Metelli
  10. Towards Theoretical Understanding of Sequential Decision Making with Preference Feedback
    ICML 2025 ·
    Simone Drago
    ,
    Marco Mussi
    , Alberto Maria Metelli
  11. (ε, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits
    COLT 2024 ·
    Gianmarco Genalti
    ,
    Lupo Marsigli
    ,
    Nicola Gatti
    , Alberto Maria Metelli
  12. Autoregressive Bandits
    AISTATS 2024 ·
    Francesco Bacchiocchi
    ,
    Gianmarco Genalti
    ,
    Davide Maran
    ,
    Marco Mussi
    ,
    Marcello Restelli
    ,
    Nicola Gatti
    , Alberto Maria Metelli
  13. Best Arm Identification for Stochastic Rising Bandits
    ICML 2024 ·
    Marco Mussi
    ,
    Alessandro Montenegro
    ,
    Francesco Trovò
    ,
    Marcello Restelli
    , Alberto Maria Metelli
  14. Dissimilarity Bandits
    AISTATS 2024 ·
    Paolo Battellani
    , Alberto Maria Metelli,
    Francesco Trovò
  15. Factored-Reward Bandits with Intermediate Observations
    ICML 2024 ·
    Marco Mussi
    ,
    Simone Drago
    ,
    Marcello Restelli
    , Alberto Maria Metelli
  16. Graph-Triggered Rising Bandits
    ICML 2024 ·
    Gianmarco Genalti
    ,
    Marco Mussi
    ,
    Nicola Gatti
    ,
    Marcello Restelli
    ,
    Matteo Castiglioni
    , Alberto Maria Metelli
  17. How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach
    NeurIPS 2024 ·
    Filippo Lazzati
    ,
    Mirco Mutti
    , Alberto Maria Metelli
  18. Interpetable Target-Feature Aggregation for Multi-task Learning Based on Bias-Variance Analysis
    ECML-PKDD 2024 ·
    Paolo Bonetti
    , Alberto Maria Metelli,
    Marcello Restelli
  19. Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning
    NeurIPS 2024 ·
    Alessandro Montenegro
    ,
    Marco Mussi
    ,
    Matteo Papini
    , Alberto Maria Metelli
  20. Learning Optimal Deterministic Policies with Stochastic Policy Gradients
    ICML 2024 ·
    Alessandro Montenegro
    ,
    Marco Mussi
    , Alberto Maria Metelli,
    Matteo Papini
  21. Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs
    NeurIPS 2024 ·
    Davide Maran
    , Alberto Maria Metelli,
    Matteo Papini
    ,
    Marcello Restelli
  22. No-Regret Reinforcement Learning in Smooth MDPs
    ICML 2024 ·
    Davide Maran
    , Alberto Maria Metelli,
    Matteo Papini
    ,
    Marcello Restelli
  23. Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms
    ICML 2024 ·
    Filippo Lazzati
    ,
    Mirco Mutti
    , Alberto Maria Metelli
  24. Online Learning with Off-Policy Feedback in Adversarial MDPs
    IJCAI 2024 ·
    Francesco Bacchiocchi
    ,
    Francesco Emanuele Stradi
    ,
    Matteo Papini
    , Alberto Maria Metelli,
    Nicola Gatti
  25. Optimal Multi-Fidelity Best-Arm Identification
    NeurIPS 2024 ·
    Riccardo Poiani
    ,
    Rémy Degenne
    ,
    Emilie Kaufmann
    , Alberto Maria Metelli,
    Marcello Restelli
  26. Parameterized Projected Bellman Operator
    AAAI 2024 ·
    Théo Vincent
    , Alberto Maria Metelli,
    Boris Belousov
    ,
    Jan Peters
    ,
    Marcello Restelli
    ,
    Carlo D'Eramo
  27. Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs
    COLT 2024 ·
    Davide Maran
    , Alberto Maria Metelli,
    Matteo Papini
    ,
    Marcello Restelli
  28. Recent Advancements in Inverse Reinforcement Learning
    AAAI 2024 · Alberto Maria Metelli
  29. Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning
    NeurIPS 2024 ·
    Riccardo Poiani
    ,
    Gabriele Curti
    , Alberto Maria Metelli,
    Marcello Restelli