default search action
Hany Abdulsamad
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j4]Hany Abdulsamad
, Peter Nickl
Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 1950-1963 (2024) - [c14]Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad:
Nesting Particle Filters for Experimental Design in Dynamical Systems. ICML 2024 - [i20]Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad:
Nesting Particle Filters for Experimental Design in Dynamical Systems. CoRR abs/2402.07868 (2024) - [i19]Sahel Iqbal, Hany Abdulsamad, Sara Pérez-Vieites, Simo Särkkä, Adrien Corenflos:
Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design. CoRR abs/2409.05354 (2024) - [i18]Casian Iacob, Hany Abdulsamad, Simo Särkkä:
A Parallel-in-Time Newton's Method for Nonlinear Model Predictive Control. CoRR abs/2409.20027 (2024) - 2023
- [c13]Fatemeh Yaghoobi, Hany Abdulsamad, Simo Särkkä:
A Recursive Newton Method for Smoothing in Nonlinear State Space Models. EUSIPCO 2023: 1758-1762 - [c12]Adrien Corenflos, Hany Abdulsamad:
Variational Gaussian Filtering via Wasserstein Gradient Flows. EUSIPCO 2023: 1838-1842 - [i17]Adrien Corenflos, Hany Abdulsamad:
Variational Gaussian filtering via Wasserstein gradient flows. CoRR abs/2303.06398 (2023) - [i16]Fatemeh Yaghoobi, Hany Abdulsamad, Simo Särkkä:
A Recursive Newton Method for Smoothing in Nonlinear State Space Models. CoRR abs/2306.09148 (2023) - [i15]Hany Abdulsamad, Sahel Iqbal, Adrien Corenflos, Simo Särkkä:
Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing. CoRR abs/2312.14000 (2023) - 2022
- [b1]Hany Abdulsamad:
Statistical Machine Learning for Modeling and Control of Stochastic Structured Systems. Technical University of Darmstadt, Germany, 2022 - [j3]Janosch Moos
Robust Reinforcement Learning: A Review of Foundations and Recent Advances. Mach. Learn. Knowl. Extr. 4(1): 276-315 (2022) - [i14]Tim Schneider, Boris Belousov, Hany Abdulsamad, Jan Peters:
Active Inference for Robotic Manipulation. CoRR abs/2206.10313 (2022) - [i13]Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters:
Variational Hierarchical Mixtures for Learning Probabilistic Inverse Dynamics. CoRR abs/2211.01120 (2022) - 2021
- [j2]Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen:
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning. J. Mach. Learn. Res. 22: 182:1-182:52 (2021) - [c11]Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters:
A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning. ICRA 2021: 4216-4222 - [i12]Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen:
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning. CoRR abs/2102.13176 (2021) - [i11]Hany Abdulsamad, Tim Dorau, Boris Belousov, Jia-Jie Zhu, Jan Peters:
Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions. CoRR abs/2103.15388 (2021) - [i10]Joe Watson, Hany Abdulsamad, Rolf Findeisen, Jan Peters:
Stochastic Control through Approximate Bayesian Input Inference. CoRR abs/2105.07693 (2021) - [i9]Hany Abdulsamad, Jan Peters:
Model-Based Reinforcement Learning for Stochastic Hybrid Systems. CoRR abs/2111.06211 (2021) - 2020
- [c10]Samuele Tosatto, João Carvalho, Hany Abdulsamad, Jan Peters:
A Nonparametric Off-Policy Policy Gradient. AISTATS 2020: 167-177 - [c9]Hany Abdulsamad, Jan Peters:
Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation. L4DC 2020: 904-914 - [i8]Samuele Tosatto, João Carvalho, Hany Abdulsamad, Jan Peters:
A Nonparametric Offpolicy Policy Gradient. CoRR abs/2001.02435 (2020) - [i7]Hany Abdulsamad, Jan Peters:
Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation. CoRR abs/2005.01432 (2020) - [i6]Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters:
A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning. CoRR abs/2011.05217 (2020)
2010 – 2019
- 2019
- [c8]Pascal Klink, Hany Abdulsamad, Boris Belousov, Jan Peters:
Self-Paced Contextual Reinforcement Learning. CoRL 2019: 513-529 - [c7]Joe Watson, Hany Abdulsamad, Jan Peters:
Stochastic Optimal Control as Approximate Input Inference. CoRL 2019: 697-716 - [c6]Matthias Schultheis, Boris Belousov, Hany Abdulsamad, Jan Peters:
Receding Horizon Curiosity. CoRL 2019: 1278-1288 - [c5]Onur Celik, Hany Abdulsamad, Jan Peters:
Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics. IROS 2019: 6828-6833 - [i5]Onur Celik, Hany Abdulsamad, Jan Peters:
Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics. CoRR abs/1906.11003 (2019) - [i4]Pascal Klink, Hany Abdulsamad, Boris Belousov, Jan Peters:
Self-Paced Contextual Reinforcement Learning. CoRR abs/1910.02826 (2019) - [i3]Joe Watson, Hany Abdulsamad, Jan Peters:
Stochastic Optimal Control as Approximate Input Inference. CoRR abs/1910.03003 (2019) - [i2]Matthias Schultheis, Boris Belousov, Hany Abdulsamad, Jan Peters:
Receding Horizon Curiosity. CoRR abs/1910.03620 (2019) - 2018
- [j1]Riad Akrour, Abbas Abdolmaleki, Hany Abdulsamad, Jan Peters, Gerhard Neumann:
Model-Free Trajectory-based Policy Optimization with Monotonic Improvement. J. Mach. Learn. Res. 19: 14:1-14:25 (2018) - 2017
- [c4]Hany Abdulsamad, Oleg Arenz
State-Regularized Policy Search for Linearized Dynamical Systems. ICAPS 2017: 419-424 - 2016
- [c3]Riad Akrour, Gerhard Neumann, Hany Abdulsamad, Abbas Abdolmaleki:
Model-Free Trajectory Optimization for Reinforcement Learning. ICML 2016: 2961-2970 - [c2]Oleg Arenz
Optimal control and inverse optimal control by distribution matching. IROS 2016: 4046-4053 - [i1]Riad Akrour, Abbas Abdolmaleki, Hany Abdulsamad, Gerhard Neumann:
Model-free Trajectory Optimization for Reinforcement Learning. CoRR abs/1606.09197 (2016) - 2015
- [c1]Simone Parisi, Hany Abdulsamad, Alexandros Paraschos, Christian Daniel, Jan Peters:
Reinforcement learning vs human programming in tetherball robot games. IROS 2015: 6428-6434
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-22 20:17 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: