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Restelli, Marcello

  1. Sharing Knowledge in Multi-Task Deep Reinforcement Learning
    2024/01/17 by D'Eramo, Carlo, Tateo, Davide, Bonarini, Andrea +2 · 10 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  2. Multi-objective Reinforcement Learning with Continuous Pareto Frontier Approximation Supplementary Material
    2014/06/13 by Pirotta, Matteo, Parisi, Simone, Restelli, Marcello · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  3. Risk-Averse Trust Region Optimization for Reward-Volatility Reduction
    2019/12/06 by Bisi, Lorenzo, Sabbioni, Luca, Vittori, Edoardo +2 · 3 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  4. The Importance of Non-Markovianity in Maximum State Entropy Exploration
    2022/02/07 by Mirco Mutti, Mutti, Mirco, Riccardo De Santi +3 · 4 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Reinforcement Learning in Robotics #Data Stream Mining Techniques
  5. Delayed Reinforcement Learning by Imitation
    2022/05/11 by Liotet, Pierre, Maran, Davide, Bisi, Lorenzo +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. Importance Weighted Transfer of Samples in Reinforcement Learning
    2018/05/28 by Tirinzoni, Andrea, Sessa, Andrea, Pirotta, Matteo +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Reinforcement Learning in Linear MDPs: Constant Regret and\n Representation Selection
    2021/10/27 by Matteo Papini, Andrea Tirinzoni, Papini, Matteo +9 · 2 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Age of Information Optimization #Advanced Bandit Algorithms Research
  8. Towards Theoretical Understanding of Inverse Reinforcement Learning
    2023/04/25 by Metelli, Alberto Maria, Lazzati, Filippo, Restelli, Marcello · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. Unimodal Thompson Sampling for Graph-Structured Arms
    2016/11/17 by Paladino, Stefano, Trovò, Francesco, Restelli, Marcello +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Reward-Free Policy Space Compression for Reinforcement Learning
    2022/02/22 by Mirco Mutti, Mutti, Mirco, Stefano Del Col +3 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Formal Methods in Verification #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  11. MushroomRL: Simplifying Reinforcement Learning Research
    2020/01/04 by D'Eramo, Carlo, Tateo, Davide, Bonarini, Andrea +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. Option Hedging with Risk Averse Reinforcement Learning
    2020/10/23 by Vittori, Edoardo, Trapletti, Michele, Restelli, Marcello · 1 citation
    #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Trading and Market Microstructure (q-fin.TR)
  13. Meta-Reinforcement Learning by Tracking Task Non-stationarity
    2021/05/18 by Poiani, Riccardo, Tirinzoni, Andrea, Restelli, Marcello · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. ARLO: A Framework for Automated Reinforcement Learning
    2022/05/20 by Mussi, Marco, Lombarda, Davide, Metelli, Alberto Maria +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. Inverse Reinforcement Learning with Sub-optimal Experts
    2024/01/08 by Riccardo Poiani, Poiani, Riccardo, Gabriele Curti +5 · 2 citations
    Computer Science · Economics, Econometrics and Finance · Decision Sciences · #Reinforcement Learning in Robotics #Sports Analytics and Performance #Auction Theory and Applications
  16. Best Arm Identification for Stochastic Rising Bandits
    2023/02/15 by Marco Mussi, Alessandro Montenegro, Mussi, Marco +7 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  17. A Tale of Sampling and Estimation in Discounted Reinforcement Learning
    2023/04/11 by Alberto Maria Metelli, Metelli, Alberto Maria, Mirco Mutti +3 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  18. Challenging Common Assumptions in Convex Reinforcement Learning
    2022/02/03 by Mutti, Mirco, De Santi, Riccardo, De Bartolomeis, Piersilvio +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  19. Nonlinear Feature Aggregation: Two Algorithms driven by Theory
    2023/06/19 by Bonetti, Paolo, Metelli, Alberto Maria, Restelli, Marcello · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. Leveraging Good Representations in Linear Contextual Bandits
    2021/04/08 by Matteo Papini, Andrea Tirinzoni, Papini, Matteo +7 · 3 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Reinforcement Learning in Robotics #Data Stream Mining Techniques
  21. Policy Gradient with Active Importance Sampling
    2024/05/09 by Matteo Papini, Giorgio Manganini, Papini, Matteo +5 · 1 citation
    Decision Sciences · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Simulation Techniques and Applications #Statistical Methods and Inference
  22. The Limits of Pure Exploration in POMDPs: When the Observation Entropy is Enough
    2024/06/18 by Zamboni, Riccardo, Cirino, Duilio, Restelli, Marcello +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. Interpetable Target-Feature Aggregation for Multi-Task Learning based on Bias-Variance Analysis
    2024/06/12 by Bonetti, Paolo, Metelli, Alberto Maria, Restelli, Marcello · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  24. Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs
    2024/10/31 by Davide Maran, Alberto Maria Metelli, Maran, Davide +5 · 1 citation
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Smart Grid Energy Management