Hany Abdulsamad

44 papers A* 4A 4Misc 3Journal 28Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Parallel-in-Time Newton's Method for Nonlinear Model Predictive Control. IEEE Trans. Control. Syst. Technol. Casian Iacob, Hany Abdulsamad, Simo Särkkä
2026	J	`jnl`	Maximin Robust Bayesian Experimental Design. CoRR Hany Abdulsamad, Sahel Iqbal, Christian A. Naesseth, Takuo Matsubara, Adrien Corenflos
2025	J	`jnl`	Proximal Approximate Inference in State-Space Models. CoRR Hany Abdulsamad, Ángel F. García-Fernández, Simo Särkkä
2025	J	`jnl`	Sequential Monte Carlo for Policy Optimization in Continuous POMDPs. CoRR Hany Abdulsamad, Sahel Iqbal, Simo Särkkä
2024	J	`jnl`	A Parallel-in-Time Newton's Method for Nonlinear Model Predictive Control. CoRR Casian Iacob, Hany Abdulsamad, Simo Särkkä
2024	A*	`conf`	Nesting Particle Filters for Experimental Design in Dynamical Systems. ICML Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad
2024	J	`jnl`	Nesting Particle Filters for Experimental Design in Dynamical Systems. CoRR Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad
2024	—	`conf`	Parallel-in-Time Probabilistic Solutions for Time-Dependent Nonlinear Partial Differential Equations. MLSP Sahel Iqbal, Hany Abdulsamad, Tripp Cator, Ulisses Braga-Neto, Simo Särkkä
2024	J	`jnl`	Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design. CoRR Sahel Iqbal, Hany Abdulsamad, Sara Pérez-Vieites, Simo Särkkä, Adrien Corenflos
2024	J	`jnl`	Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics. IEEE Trans. Pattern Anal. Mach. Intell. Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters
2023	—	`conf`	A Recursive Newton Method for Smoothing in Nonlinear State Space Models. EUSIPCO Fatemeh Yaghoobi, Hany Abdulsamad, Simo Särkkä
2023	J	`jnl`	A Recursive Newton Method for Smoothing in Nonlinear State Space Models. CoRR Fatemeh Yaghoobi, Hany Abdulsamad, Simo Särkkä
2023	J	`jnl`	Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing. CoRR Hany Abdulsamad, Sahel Iqbal, Adrien Corenflos, Simo Särkkä
2023	—	`conf`	Variational Gaussian Filtering via Wasserstein Gradient Flows. EUSIPCO Adrien Corenflos, Hany Abdulsamad
2023	J	`jnl`	Variational Gaussian filtering via Wasserstein gradient flows. CoRR Adrien Corenflos, Hany Abdulsamad
2022	J	`jnl`	Active Inference for Robotic Manipulation. CoRR Tim Schneider, Boris Belousov, Hany Abdulsamad, Jan Peters
2022	J	`jnl`	Robust Reinforcement Learning: A Review of Foundations and Recent Advances. Mach. Learn. Knowl. Extr. Janosch Moos, Kay Hansel, Hany Abdulsamad, Svenja Stark, Debora Clever, Jan Peters
2022	—	`—`	Statistical Machine Learning for Modeling and Control of Stochastic Structured Systems. Hany Abdulsamad
2022	J	`jnl`	Variational Hierarchical Mixtures for Learning Probabilistic Inverse Dynamics. CoRR Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters
2021	J	`jnl`	A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning. CoRR Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2021	J	`jnl`	A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning. J. Mach. Learn. Res. Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2021	A*	`conf`	A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning. ICRA Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters
2021	J	`jnl`	Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions. CoRR Hany Abdulsamad, Tim Dorau, Boris Belousov, Jia-Jie Zhu, Jan Peters
2021	J	`jnl`	Model-Based Reinforcement Learning for Stochastic Hybrid Systems. CoRR Hany Abdulsamad, Jan Peters
2021	J	`jnl`	Stochastic Control through Approximate Bayesian Input Inference. CoRR Joe Watson, Hany Abdulsamad, Rolf Findeisen, Jan Peters
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`	A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning. CoRR Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters
2020	—	`conf`	Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation. L4DC Hany Abdulsamad, Jan Peters
2020	J	`jnl`	Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation. CoRR Hany Abdulsamad, Jan Peters
2019	A	`conf`	Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics. IROS Onur Celik, Hany Abdulsamad, Jan Peters
2019	J	`jnl`	Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics. CoRR Onur Celik, Hany Abdulsamad, Jan Peters
2019	Misc	`conf`	Receding Horizon Curiosity. CoRL Matthias Schultheis, Boris Belousov, Hany Abdulsamad, Jan Peters
2019	J	`jnl`	Receding Horizon Curiosity. CoRR Matthias Schultheis, Boris Belousov, Hany Abdulsamad, Jan Peters
2019	Misc	`conf`	Self-Paced Contextual Reinforcement Learning. CoRL Pascal Klink, Hany Abdulsamad, Boris Belousov, Jan Peters
2019	J	`jnl`	Self-Paced Contextual Reinforcement Learning. CoRR Pascal Klink, Hany Abdulsamad, Boris Belousov, Jan Peters
2019	Misc	`conf`	Stochastic Optimal Control as Approximate Input Inference. CoRL Joe Watson, Hany Abdulsamad, Jan Peters
2019	J	`jnl`	Stochastic Optimal Control as Approximate Input Inference. CoRR Joe Watson, Hany Abdulsamad, Jan Peters
2018	J	`jnl`	Model-Free Trajectory-based Policy Optimization with Monotonic Improvement. J. Mach. Learn. Res. Riad Akrour, Abbas Abdolmaleki, Hany Abdulsamad, Jan Peters, Gerhard Neumann
2017	A*	`conf`	State-Regularized Policy Search for Linearized Dynamical Systems. ICAPS Hany Abdulsamad, Oleg Arenz, Jan Peters, Gerhard Neumann
2016	A*	`conf`	Model-Free Trajectory Optimization for Reinforcement Learning. ICML Riad Akrour, Gerhard Neumann, Hany Abdulsamad, Abbas Abdolmaleki
2016	J	`jnl`	Model-free Trajectory Optimization for Reinforcement Learning. CoRR Riad Akrour, Abbas Abdolmaleki, Hany Abdulsamad, Gerhard Neumann
2016	A	`conf`	Optimal control and inverse optimal control by distribution matching. IROS Oleg Arenz, Hany Abdulsamad, Gerhard Neumann
2015	A	`conf`	Reinforcement learning vs human programming in tetherball robot games. IROS Simone Parisi, Hany Abdulsamad, Alexandros Paraschos, Christian Daniel, Jan Peters