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1. 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

2. 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

3. 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

4. Control-Importance-Distribution-Algorithm-CIDA- Control-Importance-Distribution-Algorithm-CIDA- Public

   This code can be used to reproduce the results in our paper ``A Control Approach for Nonlinear Stochastic State Uncertain Systems with Probabilistic Safety Guarantees''.

   Jupyter Notebook 1

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. FixedPointEM_Algorithm FixedPointEM_Algorithm Public

   This code can be used to reproduce the results in our paper ``Maximum Likelihood recursive state estimation using the Expectation Maximization algorithm''.

   MATLAB 1