Davide Tateo

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2022
Mark Long-term visitation value for deep exploration in sparse-reward reinforcement learning
Parisi, Simone ; Tateo, Davide ^LU ; Hensel, Maximilian ; D’eramo, Carlo ; Peters, Jan and Pajarinen, Joni (2022) In Algorithms 15(3).
- Contribution to journal › Article
Mark Continuous action reinforcement learning from a mixture of interpretable experts
Akrour, Riad ; Tateo, Davide ^LU and Peters, Jan (2022) In IEEE Transactions on Pattern Analysis and Machine Intelligence 44(10). p.6795-6806
- Contribution to journal › Article
2021
Mark Efficient and reactive planning for high speed robot air hockey
Liu, Puze ; Tateo, Davide ^LU ; Bou-Ammar, Haitham and Peters, Jan (2021) 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021 In IEEE International Conference on Intelligent Robots and Systems p.586-593
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark An empirical analysis of Measure-Valued Derivatives for policy gradients
Carvalho, Joao ; Tateo, Davide ^LU ; Muratore, Fabio and Peters, Jan (2021) 2021 International Joint Conference on Neural Networks, IJCNN 2021 In Proceedings of the International Joint Conference on Neural Networks 2021-July.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Robot reinforcement learning on the constraint manifold
Liu, Puze ; Tateo, Davide ^LU ; Bou-Ammar, Haitham and Peters, Jan (2021) 5th Conference on Robot Learning, CoRL 2021 In Proceedings of Machine Learning Research 164. p.1357-1366
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Mushroomrl : simplifying reinforcement learning research
D'Eramo, Carlo ; Tateo, Davide ^LU ; Bonarini, Andrea ; Restelli, Marcello and Peters, Jan (2021) In Journal of Machine Learning Research 22.
- Contribution to journal › Article
2020
Mark Sharing knowledge in multi-task deep reinforcement learning
D'Eramo, Carlo ; Tateo, Davide ^LU ; Bonarini, Andrea ; Restelli, Marcello and Peters, Jan (2020) 8th International Conference on Learning Representations, ICLR 2020
- Contribution to conference › Paper, not in proceeding
Mark ImitationFlow : learning deep stable stochastic dynamic systems by normalizing flows
Urain, Julen ; Ginesi, Michele ; Tateo, Davide ^LU and Peters, Jan (2020) 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020 In IEEE International Conference on Intelligent Robots and Systems p.5231-5237
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2019
Mark Graph-based design of hierarchical reinforcement learning agents
Tateo, Davide ^LU ; Erdenlig, Idil Su and Bonarini, Andrea (2019) 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019 In IEEE International Conference on Intelligent Robots and Systems p.1003-1009
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark A sampling-based algorithm for planning smooth nonholonomic paths
Beretta, Carolina ; Brizzolari, Cecilia ; Tateo, Davide ^LU ; Riva, Alessandro and Amigoni, Francesco (2019) 2019 European Conference on Mobile Robots, ECMR 2019 In 2019 European Conference on Mobile Robots, ECMR 2019 - Proceedings
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding