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Andrea Tirinzoni
Andrea Tirinzoni
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Cited by
Cited by
Year
Feature selection via mutual information: New theoretical insights
M Beraha, AM Metelli, M Papini, A Tirinzoni, M Restelli
2019 international joint conference on neural networks (IJCNN), 1-9, 2019
812019
Combining reinforcement learning with rule-based controllers for transparent and general decision-making in autonomous driving
A Likmeta, AM Metelli, A Tirinzoni, R Giol, M Restelli, D Romano
Robotics and Autonomous Systems 131, 103568, 2020
642020
Importance Weighted Transfer of Samples in Reinforcement Learning
A Tirinzoni, A Sessa, M Pirotta, M Restelli
International Conference on Machine Learning, 4936-4945, 2018
562018
Gradient-aware model-based policy search
P D'Oro, AM Metelli, A Tirinzoni, M Papini, M Restelli
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3801-3808, 2020
422020
An asymptotically optimal primal-dual incremental algorithm for contextual linear bandits
A Tirinzoni, M Pirotta, M Restelli, A Lazaric
Advances in Neural Information Processing Systems 33, 2021
392021
Truly batch model-free inverse reinforcement learning about multiple intentions
G Ramponi, A Likmeta, AM Metelli, A Tirinzoni, M Restelli
International conference on artificial intelligence and statistics, 2359-2369, 2020
322020
Transfer of samples in policy search via multiple importance sampling
A Tirinzoni, M Salvini, M Restelli
International Conference on Machine Learning, 6264-6274, 2019
292019
Leveraging good representations in linear contextual bandits
M Papini, A Tirinzoni, M Restelli, A Lazaric, M Pirotta
International Conference on Machine Learning, 8371-8380, 2021
282021
Sequential transfer in reinforcement learning with a generative model
A Tirinzoni, R Poiani, M Restelli
International Conference on Machine Learning, 9481-9492, 2020
222020
Transfer of value functions via variational methods
A Tirinzoni, R Rodriguez Sanchez, M Restelli
Advances in Neural Information Processing Systems 31, 2018
222018
Policy-conditioned uncertainty sets for robust Markov decision processes
A Tirinzoni, X Chen, M Petrik, B Ziebart
Advances in Neural Information Processing Systems 31, 2018
202018
Reinforcement learning in linear mdps: Constant regret and representation selection
M Papini, A Tirinzoni, A Pacchiano, M Restelli, A Lazaric, M Pirotta
Advances in Neural Information Processing Systems 34, 16371-16383, 2021
192021
Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems
A Likmeta, AM Metelli, G Ramponi, A Tirinzoni, M Giuliani, M Restelli
Machine Learning 110, 2541-2576, 2021
192021
A novel confidence-based algorithm for structured bandits
A Tirinzoni, A Lazaric, M Restelli
International Conference on Artificial Intelligence and Statistics, 3175-3185, 2020
152020
Near instance-optimal pac reinforcement learning for deterministic mdps
A Tirinzoni, A Al Marjani, E Kaufmann
Advances in neural information processing systems 35, 8785-8798, 2022
142022
A fully problem-dependent regret lower bound for finite-horizon mdps
A Tirinzoni, M Pirotta, A Lazaric
arXiv preprint arXiv:2106.13013, 2021
142021
Dealing with misspecification in fixed-confidence linear top-m identification
C Réda, A Tirinzoni, R Degenne
Advances in Neural Information Processing Systems 34, 25489-25501, 2021
112021
Meta-Reinforcement Learning by Tracking Task Non-stationarity
R Poiani, A Tirinzoni, M Restelli
Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021
92021
Optimistic pac reinforcement learning: the instance-dependent view
A Tirinzoni, A Al-Marjani, E Kaufmann
International Conference on Algorithmic Learning Theory, 1460-1480, 2023
72023
Active coverage for pac reinforcement learning
A Al-Marjani, A Tirinzoni, E Kaufmann
The Thirty Sixth Annual Conference on Learning Theory, 5044-5109, 2023
52023
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