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Daniele Calandriello

Sparse multi-task reinforcement learning
2015 · Daniele Calandriello, Alessandro Lazaric, et al. · Intelligenza Artificiale · 62
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Safe Policy Iteration
2013 · Matteo Pirotta, Marcello Restelli, et al. · Virtual Community of Pathological Anatomy (University of Castilla La Mancha) · 51
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On Fast Leverage Score Sampling and Optimal Learning
2018 · Rudi, Alessandro, Calandriello, Daniele, et al. · arXiv (Cornell University) · 50
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Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret
2019 · Calandriello, Daniele, Carratino, Luigi, et al. · arXiv (Cornell University) · 41
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Exact sampling of determinantal point processes with sublinear time preprocessing
2019 · Dereziński, Michał, Calandriello, Daniele, et al. · arXiv (Cornell University) · 31
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Second-Order Kernel Online Convex Optimization with Adaptive Sketching
2017 · Calandriello, Daniele, Lazaric, Alessandro, et al. · arXiv (Cornell University) · 24
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Physically Interactive Robogames: Definition and design guidelines
2013 · Diego Martinoia, Daniele Calandriello, et al. · Robotics and Autonomous Systems · 24
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Information-theoretic Online Memory Selection for Continual Learning
2022 · Sun, Shengyang, Calandriello, Daniele, et al. · arXiv (Cornell University) · 23
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A General Theoretical Paradigm to Understand Learning from Human Preferences
2023 · Azar, Mohammad Gheshlaghi, Rowland, Mark, et al. · arXiv (Cornell University) · 21
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Constrained DMPs for Feasible Skill Learning on Humanoid Robots
2018 · Anqing Duan, Raffaello Camoriano, et al. · IEEE-RAS International Conference on Humanoid Robots (Humanoids) · 21
Statistical and Computational Trade-Offs in Kernel K-Means
2019 · Calandriello, Daniele, Rosasco, Lorenzo · arXiv (Cornell University) · 20
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On the Emergence of Whole-Body Strategies From Humanoid Robot Push-Recovery Learning
2021 · Diego Ferigo, Raffaello Camoriano, et al. · IEEE Robotics and Automation Letters · 18
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Semi-supervised information-maximization clustering
2014 · Daniele Calandriello, Gang Niu, et al. · Neural Networks · 18
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Efficient second-order online kernel learning with adaptive embedding
2017 · Calandriello, Daniele, Lazaric, Alessandro, et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 16
Distributed Adaptive Sampling for Kernel Matrix Approximation
2018 · Calandriello, Daniele, Lazaric, Alessandro, et al. · arXiv (Cornell University) · 15
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Sampling from a $k$-DPP without looking at all items
2020 · Calandriello, Daniele, Dereziński, Michał, et al. · arXiv (Cornell University) · 14
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BYOL-Explore: Exploration by Bootstrapped Prediction
2022 · Zhaohan Guo, Shantanu Thakoor, et al. · neural information processing systems · 11
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Improved large-scale graph learning through ridge spectral sparsification
2026 · Calandriello, Daniele, Koutis, Ioannis, et al. · arXiv (Cornell University) · 9
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Gemma 4 Technical Report
2026 · Gemma Team, Abd, Sherif El, et al. · arXiv (Cornell University) · 8
Learning to Avoid Obstacles With Minimal Intervention Control
2020 · Anqing Duan, Raffaello Camoriano, et al. · Frontiers in Robotics and AI · 8
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Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification
2020 · Calandriello, Daniele, Carratino, Luigi, et al. · arXiv (Cornell University) · 7
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Learning to Sequence Multiple Tasks with Competing Constraints
2019 · Anqing Duan, Raffaello Camoriano, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 7
Multi-turn Reinforcement Learning with Preference Human Feedback
2024 · Lior Shani, Aviv Rosenberg, et al. · neural information processing systems · 4
Understanding Self-Predictive Learning for Reinforcement Learning
2022 · Tang, Yunhao, Guo, Zhaohan Daniel, et al. · arXiv (Cornell University) · 4
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Safe Policy Iteration: A Monotonically Improving Approximate Policy Iteration Approach
2021 · Alberto Maria Metelli, Matteo Pirotta, et al. · Journal of Machine Learning Research · 4
Works count: 68
Citation count: 608
H-index: 15
I10-index: 18
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