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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 ``Linearizing uncertainties that matter for control: the Koopman operator in the dual control context''.

   Julia 5 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 4

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