Samuele Tosatto

Orcid: 0000-0002-5795-9541

According to our database1, Samuele Tosatto authored at least 18 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Investigating the Benefits of Nonlinear Action Maps in Data-Driven Teleoperation.
CoRR, 2024

Local Linearity is All You Need (in Data-Driven Teleoperation).
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023
Deep Probabilistic Movement Primitives with a Bayesian Aggregator.
IROS, 2023

Dynamic Decision Frequency with Continuous Options.
IROS, 2023

2022
Batch Reinforcement Learning With a Nonparametric Off-Policy Policy Gradient.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Variable-Decision Frequency Option Critic.
CoRR, 2022

A Temporal-Difference Approach to Policy Gradient Estimation.
Proceedings of the International Conference on Machine Learning, 2022

Model-free Policy Learning with Reward Gradients.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

An Alternate Policy Gradient Estimator for Softmax Policies.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Off-Policy Reinforcement Learning for Robotics.
PhD thesis, 2021

Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Dimensionality Reduction of Movement Primitives in Parameter Space.
CoRR, 2020

An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions.
CoRR, 2020

A Nonparametric Offpolicy Policy Gradient.
CoRR, 2020

A Nonparametric Off-Policy Policy Gradient.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Exploration Driven by an Optimistic Bellman Equation.
Proceedings of the International Joint Conference on Neural Networks, 2019

2017
Boosted Fitted Q-Iteration.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learning inverse dynamics models in O(n) time with LSTM networks.
Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017


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