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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
This is the Julia implementation of the behavioral control DeePC algorithm.
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
This code can be used to reproduce the results in our paper ``Actively Learning Reinforcement Learning: A Stochastic Optimal Control Approach''.
Jupyter Notebook 4
Policy iteration algorithm applied on finite state and action spaces Markov decision process.
C++
This code can be used to reproduce the results in our paper ``Maximum Likelihood recursive state estimation using the Expectation Maximization algorithm''.
MATLAB 2