Samuele Tosatto

According to our database, Samuele Tosatto authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Investigating the Benefits of Nonlinear Action Maps in Data-Driven Teleoperation.

Michael Przystupa, Gauthier Gidel, Matthew E. Taylor, Martin Jägersand, Justus H. Piater, Samuele Tosatto

CoRR, 2024

Local Linearity is All You Need (in Data-Driven Teleoperation).

Michael Przystupa, Gauthier Gidel, Matthew E. Taylor, Martin Jägersand, Justus H. Piater, Samuele Tosatto

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Deep Probabilistic Movement Primitives with a Bayesian Aggregator.

Michael Przystupa, Faezeh Haghverd, Martin Jägersand, Samuele Tosatto

IROS, 2023

Dynamic Decision Frequency with Continuous Options.

Amirmohammad Karimi, Jun Jin, Jun Luo, A. Rupam Mahmood, Martin Jägersand, Samuele Tosatto

IROS, 2023

2022

Batch Reinforcement Learning With a Nonparametric Off-Policy Policy Gradient.

Samuele Tosatto, João Carvalho, Jan Peters

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Variable-Decision Frequency Option Critic.

Amirmohammad Karimi, Jun Jin, Jun Luo, A. Rupam Mahmood, Martin Jägersand, Samuele Tosatto

CoRR, 2022

A Temporal-Difference Approach to Policy Gradient Estimation.

Samuele Tosatto, Andrew Patterson, Martha White, Rupam Mahmood

Proceedings of the International Conference on Machine Learning, 2022

Model-free Policy Learning with Reward Gradients.

Qingfeng Lan, Samuele Tosatto, Homayoon Farrahi, Rupam Mahmood

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

An Alternate Policy Gradient Estimator for Softmax Policies.

Shivam Garg, Samuele Tosatto, Yangchen Pan, Martha White, Rupam Mahmood

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Off-Policy Reinforcement Learning for Robotics.

Samuele Tosatto

PhD thesis, 2021

Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills.

Samuele Tosatto, Georgia Chalvatzaki, Jan Peters

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Dimensionality Reduction of Movement Primitives in Parameter Space.

Samuele Tosatto, Jonas Stadtmueller, Jan Peters

CoRR, 2020

An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions.

Samuele Tosatto, Riad Akrour, Jan Peters

CoRR, 2020

A Nonparametric Offpolicy Policy Gradient.

Samuele Tosatto, João Carvalho, Hany Abdulsamad, Jan Peters

CoRR, 2020

A Nonparametric Off-Policy Policy Gradient.

Samuele Tosatto, João Carvalho, Hany Abdulsamad, Jan Peters

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Exploration Driven by an Optimistic Bellman Equation.

Samuele Tosatto, Carlo D'Eramo, Joni Pajarinen, Marcello Restelli, Jan Peters

Proceedings of the International Joint Conference on Neural Networks, 2019

2017

Boosted Fitted Q-Iteration.

Samuele Tosatto, Matteo Pirotta, Carlo D'Eramo, Marcello Restelli

Proceedings of the 34th International Conference on Machine Learning, 2017

Learning inverse dynamics models in O(n) time with LSTM networks.

Elmar Rueckert, Moritz Nakatenus, Samuele Tosatto, Jan Peters

Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017