引用次数
引用: 191
H-指数: 5
I10-指数 : 4
出版物: 21
Boosted Fitted Q-Iteration.
Matteo Pirotta , Marcello Restelli , Carlo D’Eramo , Samuele Tosatto
international conference on machine learning 3434 -3443
39
2017
An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions
Jan Peters , Riad Akrour , Samuele Tosatto
arXiv: Machine Learning
5
2020
A Nonparametric Off-Policy Policy Gradient
Jan Peters , Hany Abdulsamad , Samuele Tosatto , Joao Carvalho
arXiv: Learning
9
2020
Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient.
Jan Peters , Samuele Tosatto , João Carvalho
arXiv: Learning
2
2020
Off-Policy Reinforcement Learning for Robotics
Samuele Tosatto
2021
Learning inverse dynamics models in O(n) time with LSTM networks
Elmar Rueckert , Moritz Nakatenus , Samuele Tosatto , Jan Peters
2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids) 811 -816
57
2017
Exploration Driven by an Optimistic Bellman Equation
Samuele Tosatto , Carlo D'Eramo , Joni Pajarinen , Marcello Restelli
international joint conference on neural network 1 -8
2
2019
Balloon Estimators for Improving and Scaling the Nonparametric Off-Policy Policy Gradient
Fabio d’Aquino Hilt , JanNiklas Kolf , Christian Weiland , Joao Carvalho
Smpte Journal
Making Policy Gradient Estimators for Softmax Policies More Robust to Non-stationarities
Shivam Garg , Samuele Tosatto , Yangchen Pan , Martha White
Smpte Journal
An alternate policy gradient estimator for softmax policies
Shivam Garg , Samuele Tosatto , Yangchen Pan , Martha White
arXiv preprint arXiv:2112.11622
1
2021
Contextual latent-movements off-policy optimization for robotic manipulation skills
Samuele Tosatto , Georgia Chalvatzaki , Jan Peters
2021 IEEE International Conference on Robotics and Automation (ICRA) 10815 -10821
14
2021
Dimensionality Reduction of Movement Primitives in Parameter Space
Samuele Tosatto , Jonas Stadtmüller , Jan Peters
arXiv preprint arXiv:2003.02634
2020
Deep probabilistic movement primitives with a bayesian aggregator
Michael Przystupa , Faezeh Haghverd , Martin Jagersand , Samuele Tosatto
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 3704 -3711
3
2023
Dynamic decision frequency with continuous options
Amirmohammad Karimi , Jun Jin , Jun Luo , A Rupam Mahmood
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 7545 -7552
1
2023
Model-free Policy Learning with Reward Gradients.
Qingfeng Lan , Samuele Tosatto , Homayoon Farrahi , A Rupam Mahmood
arXiv: Learning
4
2021
A temporal-difference approach to policy gradient estimation
Samuele Tosatto , Andrew Patterson , Martha White , A Rupam Mahmood
(ICML) The 39th International Conference on Machine Learning
3
2022
A Gradient Critic for Policy Gradient Estimation
Samuele Tosatto , Andrew Patterson , Martha White , A Rupam Mahmood
Sixteenth European Workshop on Reinforcement Learning
1
2023
Variable-Decision Frequency Option Critic.
Amirmohammad Karimi , Jun Jin , Jun Luo , A Rupam Mahmood
CoRR
2022
Technical Report:“Exploration Driven by an Optimistic Bellman Equation”
Samuele Tosatto , Carlo D’Eramo , Joni Pajarinen , Marcello Restelli
2018
Pink Noise LQR: How does Colored Noise affect the Optimal Policy in RL?
Jakob Hollenstein , Marko Zaric , Samuele Tosatto , Justus Piater
ICML 2024 Workshop: Foundations of Reinforcement Learning and Control--Connections and Perspectives