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hanyas/README.md

Hi there 👋

I am Hany, a postdoctoral researcher at Simo Särkkä's group at Aalto University, Finland. I received my Phd from the Technical University of Darmstadt, Germany, under the supervision of Jan Peters. My research is centered at the intersection of decision-making theory and statistical inference.

I am interested in sequential decision-making under uncertainty and tackle those problems within the frameworks of reinforcement learning and information-theoretic stochastic optimization. I focus on developing principled and efficient algorithms for stochastic optimal control, sequential experimental design, and approximate inference in state-space models.

To find out more, visit my Google Scholar or find me on Twitter

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  1. Sahel13/InsideOutSMC.jl Sahel13/InsideOutSMC.jl Public

    Implements Inside-Out SMC^2, a nested sequential Monte Carlo algorithm developed for Bayesian experimental design in dynamical systems.

    Julia 4

  2. wasserstein-flow-filter wasserstein-flow-filter Public

    Variational Filtering via Wasserstein Gradient Flow

    Python 5 1

  3. mimo mimo Public

    A toolbox for inference of mixture models

    Python 16 4

  4. trajopt trajopt Public

    A toolbox for trajectory optimization of dynamical systems

    Python 50 16

  5. psoc psoc Public

    Python 3 2

  6. second-order-smoothers second-order-smoothers Public

    Second-order iterated smoothing algorithms for state estimation

    Python 5