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msramada/README.md

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  1. floodGatesUp-DeePC floodGatesUp-DeePC Public

    This code can be used to reproduce the results in our paper ``Floodgates up to contain the DeePC and limit extrapolation''.

    Jupyter Notebook

  2. data-conforming-control data-conforming-control Public

    This code can be used to reproduce the results in our paper ``Data-conforming data-driven control: avoiding premature generalizations beyond data''

    Jupyter Notebook

  3. linearizing-uncertainty-for-control linearizing-uncertainty-for-control Public

    This code can be used to reproduce the results in our paper ``Extended Kalman filter---Koopman operator for tractable stochastic optimal control'.

    Julia 7 1

  4. Active-Learning-Reinforcement-Learning Active-Learning-Reinforcement-Learning Public

    This code can be used to reproduce the results in our paper ``Actively Learning Reinforcement Learning: A Stochastic Optimal Control Approach''.

    Jupyter Notebook 5

  5. Policy-Iteration-Markov-Decision-Process-OOP Policy-Iteration-Markov-Decision-Process-OOP Public

    Policy iteration algorithm applied on finite state and action spaces Markov decision process.

    C++

  6. Extended-Kalman-Filter-UsingPyTorchAutoGrad Extended-Kalman-Filter-UsingPyTorchAutoGrad Public

    Uses PyTorch tensors and autograd | The extended Kalman filtering algorithm as a class: mean and covariance are attributes and propagation in time are methods | PyTorch autograd is used to return t…

    Python 3