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Hany Abdulsamad

Nesting Particle Filters for Experimental Design in Dynamical Systems

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Feb 12, 2024
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Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing

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Dec 21, 2023
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A Recursive Newton Method for Smoothing in Nonlinear State Space Models

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Jun 15, 2023
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Variational Gaussian filtering via Wasserstein gradient flows

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Mar 11, 2023
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Variational Hierarchical Mixtures for Learning Probabilistic Inverse Dynamics

Nov 02, 2022
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Model-Based Reinforcement Learning for Stochastic Hybrid Systems

Nov 11, 2021
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Stochastic Control through Approximate Bayesian Input Inference

May 17, 2021
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Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions

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Mar 29, 2021
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A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning

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Feb 25, 2021
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A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning

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Nov 10, 2020
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