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2020 – today
- 2023
[c10]Michael Przystupa, Faezeh Haghverd, Martin Jägersand, Samuele Tosatto:
Deep Probabilistic Movement Primitives with a Bayesian Aggregator. IROS 2023: 3704-3711- [c9]Amirmohammad Karimi, Jun Jin, Jun Luo, A. Rupam Mahmood, Martin Jägersand, Samuele Tosatto:
Dynamic Decision Frequency with Continuous Options. IROS 2023: 7545-7552 - [i9]Michael Przystupa, Faezeh Haghverd, Martin Jägersand, Samuele Tosatto:
Deep Probabilistic Movement Primitives with a Bayesian Aggregator. CoRR abs/2307.05141 (2023) - 2022
- [j1]Samuele Tosatto
, João Carvalho, Jan Peters:
Batch Reinforcement Learning With a Nonparametric Off-Policy Policy Gradient. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 5996-6010 (2022) - [c8]Qingfeng Lan, Samuele Tosatto, Homayoon Farrahi, Rupam Mahmood:
Model-free Policy Learning with Reward Gradients. AISTATS 2022: 4217-4234 - [c7]Shivam Garg, Samuele Tosatto, Yangchen Pan, Martha White, Rupam Mahmood:
An Alternate Policy Gradient Estimator for Softmax Policies. AISTATS 2022: 6630-6689 - [c6]Samuele Tosatto, Andrew Patterson, Martha White, Rupam Mahmood:
A Temporal-Difference Approach to Policy Gradient Estimation. ICML 2022: 21609-21632 - [i8]Samuele Tosatto, Andrew Patterson, Martha White, A. Rupam Mahmood:
A Temporal-Difference Approach to Policy Gradient Estimation. CoRR abs/2202.02396 (2022) - [i7]Amirmohammad Karimi, Jun Jin, Jun Luo, A. Rupam Mahmood, Martin Jägersand, Samuele Tosatto:
Variable-Decision Frequency Option Critic. CoRR abs/2212.04407 (2022) - 2021
- [b1]Samuele Tosatto:
Off-Policy Reinforcement Learning for Robotics. Technical University of Darmstadt, Germany, 2021 - [c5]Samuele Tosatto, Georgia Chalvatzaki, Jan Peters:
Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills. ICRA 2021: 10815-10821 - [i6]Shivam Garg, Samuele Tosatto, Yangchen Pan, Martha White, A. Rupam Mahmood:
An Alternate Policy Gradient Estimator for Softmax Policies. CoRR abs/2112.11622 (2021) - 2020
- [c4]Samuele Tosatto, João Carvalho, Hany Abdulsamad, Jan Peters:
A Nonparametric Off-Policy Policy Gradient. AISTATS 2020: 167-177 - [i5]Samuele Tosatto, João Carvalho, Hany Abdulsamad, Jan Peters:
A Nonparametric Offpolicy Policy Gradient. CoRR abs/2001.02435 (2020) - [i4]Samuele Tosatto, Riad Akrour, Jan Peters:
An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions. CoRR abs/2001.10972 (2020) - [i3]Samuele Tosatto, Jonas Stadtmueller, Jan Peters:
Dimensionality Reduction of Movement Primitives in Parameter Space. CoRR abs/2003.02634 (2020) - [i2]Samuele Tosatto, Georgia Chalvatzaki, Jan Peters:
Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills. CoRR abs/2010.13766 (2020) - [i1]Samuele Tosatto, João Carvalho, Jan Peters:
Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient. CoRR abs/2010.14771 (2020)
2010 – 2019
- 2019
- [c3]Samuele Tosatto, Carlo D'Eramo, Joni Pajarinen, Marcello Restelli, Jan Peters:
Exploration Driven by an Optimistic Bellman Equation. IJCNN 2019: 1-8 - 2017
- [c2]Elmar Rueckert, Moritz Nakatenus, Samuele Tosatto, Jan Peters:
Learning inverse dynamics models in O(n) time with LSTM networks. Humanoids 2017: 811-816 - [c1]Samuele Tosatto, Matteo Pirotta, Carlo D'Eramo, Marcello Restelli:
Boosted Fitted Q-Iteration. ICML 2017: 3434-3443
Coauthor Index
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