Samuele Tosatto

25 papers A* 4A 6B 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks. AAAI Muthukumar Pandaram, Jakob J. Hollenstein, David Drexel, Samuele Tosatto, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
2025	J	`jnl`	Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks. CoRR Muthukumar Pandaram, Jakob J. Hollenstein, David Drexel, Samuele Tosatto, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
2024	J	`jnl`	Investigating the Benefits of Nonlinear Action Maps in Data-Driven Teleoperation. CoRR Michael Przystupa, Gauthier Gidel, Matthew E. Taylor, Martin Jägersand, Justus H. Piater, Samuele Tosatto
2024	A	`conf`	Local Linearity is All You Need (in Data-Driven Teleoperation). IROS Michael Przystupa, Gauthier Gidel, Matthew E. Taylor, Martin Jägersand, Justus H. Piater, Samuele Tosatto
2023	A	`conf`	Deep Probabilistic Movement Primitives with a Bayesian Aggregator. IROS Michael Przystupa, Faezeh Haghverd, Martin Jägersand, Samuele Tosatto
2023	J	`jnl`	Deep Probabilistic Movement Primitives with a Bayesian Aggregator. CoRR Michael Przystupa, Faezeh Haghverd, Martin Jägersand, Samuele Tosatto
2023	A	`conf`	Dynamic Decision Frequency with Continuous Options. IROS Amirmohammad Karimi, Jun Jin, Jun Luo, A. Rupam Mahmood, Martin Jägersand, Samuele Tosatto
2022	A*	`conf`	A Temporal-Difference Approach to Policy Gradient Estimation. ICML Samuele Tosatto, Andrew Patterson, Martha White, Rupam Mahmood
2022	J	`jnl`	A Temporal-Difference Approach to Policy Gradient Estimation. CoRR Samuele Tosatto, Andrew Patterson, Martha White, A. Rupam Mahmood
2022	A	`conf`	An Alternate Policy Gradient Estimator for Softmax Policies. AISTATS Shivam Garg, Samuele Tosatto, Yangchen Pan, Martha White, Rupam Mahmood
2022	J	`jnl`	Batch Reinforcement Learning With a Nonparametric Off-Policy Policy Gradient. IEEE Trans. Pattern Anal. Mach. Intell. Samuele Tosatto, João Carvalho, Jan Peters
2022	A	`conf`	Model-free Policy Learning with Reward Gradients. AISTATS Qingfeng Lan, Samuele Tosatto, Homayoon Farrahi, Rupam Mahmood
2022	J	`jnl`	Variable-Decision Frequency Option Critic. CoRR Amirmohammad Karimi, Jun Jin, Jun Luo, A. Rupam Mahmood, Martin Jägersand, Samuele Tosatto
2021	J	`jnl`	An Alternate Policy Gradient Estimator for Softmax Policies. CoRR Shivam Garg, Samuele Tosatto, Yangchen Pan, Martha White, A. Rupam Mahmood
2021	A*	`conf`	Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills. ICRA Samuele Tosatto, Georgia Chalvatzaki, Jan Peters
2021	—	`—`	Off-Policy Reinforcement Learning for Robotics. Samuele Tosatto
2020	A	`conf`	A Nonparametric Off-Policy Policy Gradient. AISTATS Samuele Tosatto, João Carvalho, Hany Abdulsamad, Jan Peters
2020	J	`jnl`	A Nonparametric Offpolicy Policy Gradient. CoRR Samuele Tosatto, João Carvalho, Hany Abdulsamad, Jan Peters
2020	J	`jnl`	An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions. CoRR Samuele Tosatto, Riad Akrour, Jan Peters
2020	J	`jnl`	Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient. CoRR Samuele Tosatto, João Carvalho, Jan Peters
2020	J	`jnl`	Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills. CoRR Samuele Tosatto, Georgia Chalvatzaki, Jan Peters
2020	J	`jnl`	Dimensionality Reduction of Movement Primitives in Parameter Space. CoRR Samuele Tosatto, Jonas Stadtmueller, Jan Peters
2019	B	`conf`	Exploration Driven by an Optimistic Bellman Equation. IJCNN Samuele Tosatto, Carlo D'Eramo, Joni Pajarinen, Marcello Restelli, Jan Peters
2017	A*	`conf`	Boosted Fitted Q-Iteration. ICML Samuele Tosatto, Matteo Pirotta, Carlo D'Eramo, Marcello Restelli
2017	—	`conf`	Learning inverse dynamics models in O(n) time with LSTM networks. Humanoids Elmar Rueckert, Moritz Nakatenus, Samuele Tosatto, Jan Peters