Pirotta, Matteo
- Exploration-Exploitation in Constrained MDPs
2020/03/04 by Yonathan Efroni, Shie Mannor, Efroni, Yonathan +3 · 16 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- 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)
- Kernel-Based Reinforcement Learning: A Finite-Time Analysis
2020/04/12 by Domingues, Omar Darwiche, Ménard, Pierre, Pirotta, Matteo +2 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Importance Weighted Transfer of Samples in Reinforcement Learning
2018/05/28 by Tirinzoni, Andrea, Sessa, Andrea, Pirotta, Matteo +1 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Frequentist Regret Bounds for Randomized Least-Squares Value Iteration
2019/11/01 by Zanette, Andrea, Brandfonbrener, David, Brunskill, Emma +2 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models
2025/04/15 by Andrea Tirinzoni, Tirinzoni, Andrea, Touati, Ahmed +12 · 12 citations
Computer Science · Engineering · #Reinforcement Learning in Robotics #Human Pose and Action Recognition #Robot Manipulation and Learning
- A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces
2020/07/09 by Domingues, Omar Darwiche, Ménard, Pierre, Pirotta, Matteo +2 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
2021/04/22 by Tarbouriech, Jean, Zhou, Runlong, Du, Simon S. +3 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Temporal Difference Flows
2025/03/12 by Jesse Farebrother, Farebrother, Jesse, Matteo Pirotta +8 · 6 citations
Computer Science · Neuroscience · #Reinforcement Learning in Robotics #Generative Adversarial Networks and Image Synthesis #Embodied and Extended Cognition
- Reinforcement Learning in Linear MDPs: Constant Regret and\n Representation Selection
2021/10/27 by Matteo Papini, Papini, Matteo, Andrea Tirinzoni +9 · 2 citations
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Age of Information Optimization #Advanced Bandit Algorithms Research
- Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning
2018/02/12 by Ronan Fruit, Fruit, Ronan, Matteo Pirotta +5 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Age of Information Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Active Model Estimation in Markov Decision Processes
2020/03/06 by Tarbouriech, Jean, Shekhar, Shubhanshu, Pirotta, Matteo +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Adversarial Attacks on Linear Contextual Bandits
2020/02/10 by Garcelon, Evrard, Roziere, Baptiste, Meunier, Laurent +4 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Provably Efficient Sample Collection Strategy for Reinforcement Learning
2020/07/13 by Tarbouriech, Jean, Pirotta, Matteo, Valko, Michal +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Improved Analysis of UCRL2 with Empirical Bernstein Inequality
2020/07/10 by Ronan Fruit, Matteo Pirotta, Fruit, Ronan +3 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization
2020/05/06 by Pierre-Alexandre Kamienny, Matteo Pirotta, Kamienny, Pierre-Alexandre +9 · 1 citation
Computer Science · Decision Sciences · #68T99 #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- Concentration Inequalities for Multinoulli Random Variables
2020/01/30 by Jian Qian, Qian, Jian, Ronan Fruit +5 · 1 citation
Computer Science · Decision Sciences · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probability and Risk Models #advanced mathematical theories
- Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees
2022/10/24 by Tirinzoni, Andrea, Papini, Matteo, Touati, Ahmed +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Leveraging Good Representations in Linear Contextual Bandits
2021/04/08 by Matteo Papini, Papini, Matteo, Andrea Tirinzoni +7 · 3 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Reinforcement Learning in Robotics #Data Stream Mining Techniques
- Fast Adaptation with Behavioral Foundation Models
2025/04/10 by Harshit Sikchi, Andrea Tirinzoni, Sikchi, Harshit +14 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Robotics (cs.RO)
- BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning
2025/11/06 by Yi Li, Li, Yitang, Zhengyi Luo +22 · 1 citation
Computer Science · Engineering · #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotic Locomotion and Control #Robotics (cs.RO)