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In this study, we investigate the use of Least Square Policy Iteration (LSPI) towards obtaining Linear Quadratic Regulation (LQR)

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ssarka4894/Linear-Quadratic-Regulation-using-Policy-Iteration

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Requirements

This project depends on the python modules numpy, scipy, matplotlib, sklearn.

pip install numpy scipy matplotlib sklearn

Initial Step

Set the current folder into your path. If using spyder, open 'main.py'. Right click on 'main.py' and select option 'Set console working directory'.

Go to file 'main.py' and run the file 'main.py' by pressing 'Ctrl + Enter'.

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In this study, we investigate the use of Least Square Policy Iteration (LSPI) towards obtaining Linear Quadratic Regulation (LQR)

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