Samuele Tosatto
Samuele Tosatto
Ph.D Student
Verified email at robot-learning.de - Homepage
Title
Cited by
Cited by
Year
Boosted Fitted Q-Iteration
S Tosatto, DE Carlo, P Matteo, R Marcello
International Conference of Machine Learning, 2017
262017
Learning inverse dynamics models in o (n) time with lstm networks
E Rueckert, M Nakatenus, S Tosatto, J Peters
2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids …, 2017
222017
A Nonparametric Off-Policy Policy Gradient
S Tosatto, J Carvalho, H Abdulsamad, J Peters
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
42020
Long-term visitation value for deep exploration in sparse reward reinforcement learning
S Parisi, D Tateo, M Hensel, C D'Eramo, J Peters, J Pajarinen
arXiv preprint arXiv:2001.00119, 2020
3*2020
An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions
S Tosatto, R Akrour, J Peters
arXiv preprint arXiv:2001.10972, 2020
22020
Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills
S Tosatto, G Chalvatzaki, J Peters
arXiv preprint arXiv:2010.13766, 2020
12020
Exploration Driven By an Optimistic Bellman Equation
S Tosatto, C D'Eramo, J Pajarinen, M Restelli, J Peters
International Joint Conference on Neural Networks, 2019
12019
An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions
S Tosatto, R Akrour, J Peters
Stats 4 (1), 1-17, 2021
2021
Off-Policy Reinforcement Learning for Robotics
S Tosatto
Technische Universität, 2021
2021
Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient
S Tosatto, J Carvalho, J Peters
arXiv preprint arXiv:2010.14771, 2020
2020
Dimensionality Reduction of Movement Primitives in Parameter Space
S Tosatto, J Stadtmueller, J Peters
arXiv preprint arXiv:2003.02634, 2020
2020
An Upper Bound of the Bias of Nadaraya–Watson Kernel Regression under Lipschitz Assumptions. Stats 2021, 4, 1–17
S Tosatto, R Akrour, J Peters
s Note: MDPI stays neu-tral with regard to jurisdictional clai-ms in …, 2020
2020
Technical Report:“Exploration Driven by an Optimistic Bellman Equation”
S Tosatto, C D’Eramo, J Pajarinen, M Restelli, J Peters
2018
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