PPaperPicks

Marcello Restelli

23 papers at tracked venues · 16 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-6322-1076 ↗Google Scholar ↗Homepage ↗

Venues

NeurIPS ×7ICML ×6AISTATS ×3AAAI ×2COLT ×2ECAI ×1ECML-PKDD ×1ICLR ×1

Frequent coauthors

Alberto Maria Metelli
×14
Davide Maran
×7
Mirco Mutti
×4
Marco Mussi
×4
Nicola Gatti
×4
Riccardo Zamboni
×3
Matteo Papini
×3
Paolo Bonetti
×2
Alessio Russo
×2
Jan Peters
×2
Francesco Bacchiocchi
×2
Gianmarco Genalti
×2

Papers

  1. Online Market Making and the Value of Observing the Order Book
    COLT 2026 ·
    Davide Maran
    , Marcello Restelli
  2. "So, Tell Me About Your Policy...": Distillation of Interpretable Policies from Deep Reinforcement Learning Agents
    ECAI 2025 ·
    Giovanni Dispoto
    ,
    Paolo Bonetti
    , Marcello Restelli
  3. Achieving $\widetilde{\mathcal{O}}(\sqrt{T})$ Regret in Average-Reward POMDPs with Known Observation Models
    AISTATS 2025 ·
    Alessio Russo
    ,
    Alberto Maria Metelli
    , Marcello Restelli
  4. 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
  5. Enhancing Diversity In Parallel Agents: A Maximum State Entropy Exploration Story
    ICML 2025 ·
    Vincenzo De Paola
    ,
    Riccardo Zamboni
    ,
    Mirco Mutti
    , Marcello Restelli
  6. Spectral Learning for Infinite-Horizon Average-Reward POMDPs
    NeurIPS 2025 ·
    Alessio Russo
    ,
    Alberto Maria Metelli
    , Marcello Restelli
  7. Towards Principled Unsupervised Multi-Agent Reinforcement Learning
    NeurIPS 2025 ·
    Riccardo Zamboni
    ,
    Mirco Mutti
    , Marcello Restelli
  8. A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics
    NeurIPS 2024 ·
    Puze Liu
    ,
    Jonas Günster
    ,
    Niklas Funk
    ,
    Simon Gröger
    ,
    Dong Chen
    ,
    Haitham Bou-Ammar
    ,
    Julius Jankowski
    ,
    Ante Maric
    ,
    Sylvain Calinon
    ,
    Andrej Orsula
    ,
    Miguel S. Olivares-Méndez
    ,
    Hongyi Zhou
    ,
    Rudolf Lioutikov
    ,
    Gerhard Neumann
    ,
    Amarildo Likmeta
    ,
    Amirhossein Zhalehmehrabi
    ,
    Thomas Bonenfant
    , Marcello Restelli,
    Davide Tateo
    ,
    Ziyuan Liu
    ,
    Jan R. Peters
  9. Autoregressive Bandits
    AISTATS 2024 ·
    Francesco Bacchiocchi
    ,
    Gianmarco Genalti
    ,
    Davide Maran
    ,
    Marco Mussi
    , Marcello Restelli,
    Nicola Gatti
    ,
    Alberto Maria Metelli
  10. Bandits with Ranking Feedback
    NeurIPS 2024 ·
    Davide Maran
    ,
    Francesco Bacchiocchi
    ,
    Francesco Emanuele Stradi
    ,
    Matteo Castiglioni
    ,
    Nicola Gatti
    , Marcello Restelli
  11. Best Arm Identification for Stochastic Rising Bandits
    ICML 2024 ·
    Marco Mussi
    ,
    Alessandro Montenegro
    ,
    Francesco Trovò
    , Marcello Restelli,
    Alberto Maria Metelli
  12. Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
    ICLR 2024 ·
    Mirco Mutti
    ,
    Riccardo De Santi
    , Marcello Restelli,
    Alexander Marx
    ,
    Giorgia Ramponi
  13. Factored-Reward Bandits with Intermediate Observations
    ICML 2024 ·
    Marco Mussi
    ,
    Simone Drago
    , Marcello Restelli,
    Alberto Maria Metelli
  14. Graph-Triggered Rising Bandits
    ICML 2024 ·
    Gianmarco Genalti
    ,
    Marco Mussi
    ,
    Nicola Gatti
    , Marcello Restelli,
    Matteo Castiglioni
    ,
    Alberto Maria Metelli
  15. How to Explore with Belief: State Entropy Maximization in POMDPs
    ICML 2024 ·
    Riccardo Zamboni
    ,
    Duilio Cirino
    , Marcello Restelli,
    Mirco Mutti
  16. Interpetable Target-Feature Aggregation for Multi-task Learning Based on Bias-Variance Analysis
    ECML-PKDD 2024 ·
    Paolo Bonetti
    ,
    Alberto Maria Metelli
    , Marcello Restelli
  17. Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs
    NeurIPS 2024 ·
    Davide Maran
    ,
    Alberto Maria Metelli
    ,
    Matteo Papini
    , Marcello Restelli
  18. No-Regret Reinforcement Learning in Smooth MDPs
    ICML 2024 ·
    Davide Maran
    ,
    Alberto Maria Metelli
    ,
    Matteo Papini
    , Marcello Restelli
  19. Online Markov Decision Processes Configuration with Continuous Decision Space
    AAAI 2024 ·
    Davide Maran
    ,
    Pierriccardo Olivieri
    ,
    Francesco Emanuele Stradi
    ,
    Giuseppe Urso
    ,
    Nicola Gatti
    , Marcello Restelli
  20. Optimal Multi-Fidelity Best-Arm Identification
    NeurIPS 2024 ·
    Riccardo Poiani
    ,
    Rémy Degenne
    ,
    Emilie Kaufmann
    ,
    Alberto Maria Metelli
    , Marcello Restelli
  21. Parameterized Projected Bellman Operator
    AAAI 2024 ·
    Théo Vincent
    ,
    Alberto Maria Metelli
    ,
    Boris Belousov
    ,
    Jan Peters
    , Marcello Restelli,
    Carlo D'Eramo
  22. Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs
    COLT 2024 ·
    Davide Maran
    ,
    Alberto Maria Metelli
    ,
    Matteo Papini
    , Marcello Restelli
  23. Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning
    NeurIPS 2024 ·
    Riccardo Poiani
    ,
    Gabriele Curti
    ,
    Alberto Maria Metelli
    , Marcello Restelli