Hany Abdulsamad

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 35

Top Topics

Receding Horizon

Gaussian Filtering

Inverse Dynamics

Policy Gradient

Top Venues

J. Mach. Learn. Res.

Publications

Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad
Nesting Particle Filters for Experimental Design in Dynamical Systems. CoRR (2024)
Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters
Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Adrien Corenflos, Hany Abdulsamad
Variational Gaussian filtering via Wasserstein gradient flows. CoRR (2023)
Fatemeh Yaghoobi, Hany Abdulsamad, Simo Särkkä
A Recursive Newton Method for Smoothing in Nonlinear State Space Models. EUSIPCO (2023)
Hany Abdulsamad, Sahel Iqbal, Adrien Corenflos, Simo Särkkä
Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing. CoRR (2023)
Fatemeh Yaghoobi, Hany Abdulsamad, Simo Särkkä
A Recursive Newton Method for Smoothing in Nonlinear State Space Models. CoRR (2023)
Adrien Corenflos, Hany Abdulsamad
Variational Gaussian Filtering via Wasserstein Gradient Flows. EUSIPCO (2023)
Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters
Variational Hierarchical Mixtures for Learning Probabilistic Inverse Dynamics. CoRR (2022)
Janosch Moos, Kay Hansel, Hany Abdulsamad, Svenja Stark, Debora Clever, Jan Peters
Robust Reinforcement Learning: A Review of Foundations and Recent Advances. Mach. Learn. Knowl. Extr. 4 (1) (2022)
Tim Schneider, Boris Belousov, Hany Abdulsamad, Jan Peters
Active Inference for Robotic Manipulation. CoRR (2022)
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 (2021)
Hany Abdulsamad, Jan Peters
Model-Based Reinforcement Learning for Stochastic Hybrid Systems. CoRR (2021)
Hany Abdulsamad, Tim Dorau, Boris Belousov, Jia-Jie Zhu, Jan Peters
Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions. CoRR (2021)
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 (2021)
Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters
A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning. ICRA (2021)
Joe Watson, Hany Abdulsamad, Rolf Findeisen, Jan Peters
Stochastic Control through Approximate Bayesian Input Inference. CoRR (2021)
Hany Abdulsamad, Jan Peters
Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation. CoRR (2020)
Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters
A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning. CoRR (2020)
Samuele Tosatto, João Carvalho, Hany Abdulsamad, Jan Peters
A Nonparametric Off-Policy Policy Gradient. AISTATS (2020)
Hany Abdulsamad, Jan Peters
Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation. L4DC (2020)
Samuele Tosatto, João Carvalho, Hany Abdulsamad, Jan Peters
A Nonparametric Offpolicy Policy Gradient. CoRR (2020)
Joe Watson, Hany Abdulsamad, Jan Peters
Stochastic Optimal Control as Approximate Input Inference. CoRL (2019)
Matthias Schultheis, Boris Belousov, Hany Abdulsamad, Jan Peters
Receding Horizon Curiosity. CoRL (2019)
Pascal Klink, Hany Abdulsamad, Boris Belousov, Jan Peters
Self-Paced Contextual Reinforcement Learning. CoRL (2019)
Joe Watson, Hany Abdulsamad, Jan Peters
Stochastic Optimal Control as Approximate Input Inference. CoRR (2019)
Matthias Schultheis, Boris Belousov, Hany Abdulsamad, Jan Peters
Receding Horizon Curiosity. CoRR (2019)
Onur Celik, Hany Abdulsamad, Jan Peters
Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics. CoRR (2019)
Onur Celik, Hany Abdulsamad, Jan Peters
Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics. IROS (2019)
Pascal Klink, Hany Abdulsamad, Boris Belousov, Jan Peters
Self-Paced Contextual Reinforcement Learning. CoRR (2019)
Riad Akrour, Abbas Abdolmaleki, Hany Abdulsamad, Jan Peters, Gerhard Neumann
Model-Free Trajectory-based Policy Optimization with Monotonic Improvement. J. Mach. Learn. Res. 19 (2018)
Hany Abdulsamad, Oleg Arenz, Jan Peters, Gerhard Neumann
State-Regularized Policy Search for Linearized Dynamical Systems. ICAPS (2017)
Riad Akrour, Gerhard Neumann, Hany Abdulsamad, Abbas Abdolmaleki
Model-Free Trajectory Optimization for Reinforcement Learning. ICML (2016)
Oleg Arenz, Hany Abdulsamad, Gerhard Neumann
Optimal control and inverse optimal control by distribution matching. IROS (2016)
Riad Akrour, Abbas Abdolmaleki, Hany Abdulsamad, Gerhard Neumann
Model-free Trajectory Optimization for Reinforcement Learning. CoRR (2016)
Simone Parisi, Hany Abdulsamad, Alexandros Paraschos, Christian Daniel, Jan Peters
Reinforcement learning vs human programming in tetherball robot games. IROS (2015)