Hany Abdulsamad

According to our database, Hany Abdulsamad authored at least 29 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics.

Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

A Parallel-in-Time Newton's Method for Nonlinear Model Predictive Control.

Casian Iacob, Hany Abdulsamad, Simo Särkkä

CoRR, 2024

Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design.

Sahel Iqbal, Hany Abdulsamad, Sara Pérez-Vieites, Simo Särkkä, Adrien Corenflos

CoRR, 2024

Parallel-in-Time Probabilistic Solutions for Time-Dependent Nonlinear Partial Differential Equations.

Sahel Iqbal, Hany Abdulsamad, Tripp Cator, Ulisses Braga-Neto, Simo Särkkä

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Nesting Particle Filters for Experimental Design in Dynamical Systems.

Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing.

Hany Abdulsamad, Sahel Iqbal, Adrien Corenflos, Simo Särkkä

CoRR, 2023

A Recursive Newton Method for Smoothing in Nonlinear State Space Models.

Fatemeh Yaghoobi, Hany Abdulsamad, Simo Särkkä

Proceedings of the 31st European Signal Processing Conference, 2023

Variational Gaussian Filtering via Wasserstein Gradient Flows.

Adrien Corenflos, Hany Abdulsamad

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Statistical Machine Learning for Modeling and Control of Stochastic Structured Systems.

Hany Abdulsamad

PhD thesis, 2022

Robust Reinforcement Learning: A Review of Foundations and Recent Advances.

Janosch Moos, Kay Hansel, Hany Abdulsamad, Svenja Stark, Debora Clever, Jan Peters

Mach. Learn. Knowl. Extr., 2022

Variational Hierarchical Mixtures for Learning Probabilistic Inverse Dynamics.

Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters

CoRR, 2022

Active Inference for Robotic Manipulation.

Tim Schneider, Boris Belousov, Hany Abdulsamad, Jan Peters

CoRR, 2022

2021

A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning.

Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen

J. Mach. Learn. Res., 2021

Model-Based Reinforcement Learning for Stochastic Hybrid Systems.

Hany Abdulsamad, Jan Peters

CoRR, 2021

Stochastic Control through Approximate Bayesian Input Inference.

Joe Watson, Hany Abdulsamad, Rolf Findeisen, Jan Peters

CoRR, 2021

Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions.

Hany Abdulsamad, Tim Dorau, Boris Belousov, Jia-Jie Zhu, Jan Peters

CoRR, 2021

A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning.

Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

A Nonparametric Offpolicy Policy Gradient.

Samuele Tosatto, João Carvalho, Hany Abdulsamad, Jan Peters

CoRR, 2020

Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation.

Hany Abdulsamad, Jan Peters

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

A Nonparametric Off-Policy Policy Gradient.

Samuele Tosatto, João Carvalho, Hany Abdulsamad, Jan Peters

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics.

Onur Celik, Hany Abdulsamad, Jan Peters

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Stochastic Optimal Control as Approximate Input Inference.

Joe Watson, Hany Abdulsamad, Jan Peters

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Receding Horizon Curiosity.

Matthias Schultheis, Boris Belousov, Hany Abdulsamad, Jan Peters

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Self-Paced Contextual Reinforcement Learning.

Pascal Klink, Hany Abdulsamad, Boris Belousov, Jan Peters

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Model-Free Trajectory-based Policy Optimization with Monotonic Improvement.

Riad Akrour, Abbas Abdolmaleki, Hany Abdulsamad, Jan Peters, Gerhard Neumann

J. Mach. Learn. Res., 2018

2017

State-Regularized Policy Search for Linearized Dynamical Systems.

Hany Abdulsamad, Oleg Arenz, Jan Peters, Gerhard Neumann

Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

2016

Optimal control and inverse optimal control by distribution matching.

Oleg Arenz, Hany Abdulsamad, Gerhard Neumann

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Model-Free Trajectory Optimization for Reinforcement Learning.

Riad Akrour, Gerhard Neumann, Hany Abdulsamad, Abbas Abdolmaleki

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Reinforcement learning vs human programming in tetherball robot games.

Simone Parisi, Hany Abdulsamad, Alexandros Paraschos, Christian Daniel, Jan Peters

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015