ML Anthology

Abdulsamad, Hany

11 publications

NeurIPS 2025 Sequential Monte Carlo for Policy Optimization in Continuous POMDPs Hany Abdulsamad, Sahel Iqbal, Simo Särkkä
ICML 2024 Nesting Particle Filters for Experimental Design in Dynamical Systems Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad
NeurIPSW 2024 Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design Sahel Iqbal, Hany Abdulsamad, Sara Perez-Vieites, Simo Särkkä, Adrien Corenflos
JMLR 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
AISTATS 2020 A Nonparametric Off-Policy Policy Gradient Samuele Tosatto, Joao Carvalho, Hany Abdulsamad, Jan Peters
L4DC 2020 Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation Hany Abdulsamad, Jan Peters
CoRL 2019 Receding Horizon Curiosity Matthias Schultheis, Boris Belousov, Hany Abdulsamad, Jan Peters
CoRL 2019 Self-Paced Contextual Reinforcement Learning Pascal Klink, Hany Abdulsamad, Boris Belousov, Jan Peters
CoRL 2019 Stochastic Optimal Control as Approximate Input Inference Joe Watson, Hany Abdulsamad, Jan Peters
JMLR 2018 Model-Free Trajectory-Based Policy Optimization with Monotonic Improvement Riad Akrour, Abbas Abdolmaleki, Hany Abdulsamad, Jan Peters, Gerhard Neumann
ICML 2016 Model-Free Trajectory Optimization for Reinforcement Learning Riad Akrour, Gerhard Neumann, Hany Abdulsamad, Abbas Abdolmaleki